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5. Innovation accounting<\/strong><\/h2>\n\n\n\n

Entrepreneurs need to be held accountable, but to a different set of metrics. Instead of having product milestones, innovators should have learning milestones. A measurable metric for learning is customer behavior. Product development focuses on improvement in customer retention instead of product sales. With learning milestones, companies give themselves a timeframe to meet a customer behavior baseline and choose whether or not to pivot.<\/p>\n","post_title":"A Competitive Edge for Corporations: The Lean Startup Method and Innovation","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation","to_ping":"","pinged":"","post_modified":"2019-12-27 20:45:15","post_modified_gmt":"2019-12-28 04:45:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/blog\/a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation\/","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"prev":false,"total_page":1},"paged":1,"column_class":"jeg_col_2o3","class":"epic_block_5"};

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The question is not whether a product can be built but whether it should be built. Companies can build things very efficiently that nobody wants. The build-measure-learn cycle involves turning ideas into products quickly, measuring how customers respond, and then learning whether or not to pivot or persevere. A minimum viable product only needs to include features necessary to learn what customers want.<\/p>\n\n\n\n

5. Innovation accounting<\/strong><\/h2>\n\n\n\n

Entrepreneurs need to be held accountable, but to a different set of metrics. Instead of having product milestones, innovators should have learning milestones. A measurable metric for learning is customer behavior. Product development focuses on improvement in customer retention instead of product sales. With learning milestones, companies give themselves a timeframe to meet a customer behavior baseline and choose whether or not to pivot.<\/p>\n","post_title":"A Competitive Edge for Corporations: The Lean Startup Method and Innovation","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation","to_ping":"","pinged":"","post_modified":"2019-12-27 20:45:15","post_modified_gmt":"2019-12-28 04:45:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/blog\/a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation\/","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"prev":false,"total_page":1},"paged":1,"column_class":"jeg_col_2o3","class":"epic_block_5"};

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4. Build-Measure-Learn<\/strong><\/h2>\n\n\n\n

The question is not whether a product can be built but whether it should be built. Companies can build things very efficiently that nobody wants. The build-measure-learn cycle involves turning ideas into products quickly, measuring how customers respond, and then learning whether or not to pivot or persevere. A minimum viable product only needs to include features necessary to learn what customers want.<\/p>\n\n\n\n

5. Innovation accounting<\/strong><\/h2>\n\n\n\n

Entrepreneurs need to be held accountable, but to a different set of metrics. Instead of having product milestones, innovators should have learning milestones. A measurable metric for learning is customer behavior. Product development focuses on improvement in customer retention instead of product sales. With learning milestones, companies give themselves a timeframe to meet a customer behavior baseline and choose whether or not to pivot.<\/p>\n","post_title":"A Competitive Edge for Corporations: The Lean Startup Method and Innovation","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation","to_ping":"","pinged":"","post_modified":"2019-12-27 20:45:15","post_modified_gmt":"2019-12-28 04:45:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/blog\/a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation\/","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"prev":false,"total_page":1},"paged":1,"column_class":"jeg_col_2o3","class":"epic_block_5"};

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Companies should move from simply making stuff to validated learning. With validated learning the unit of measurement is not how far along the team is on adding features, but how far along the company is on learning who they\u2019re customers are and what their customers need. As William Edwards Deming, an American engineer, said, \u201cThe customer is the most important part of the production line.\u201d Teams must rigorously assess whether they are learning how to build a sustainable business. And a sustainable business is one that first understands the customer\u2019s needs.<\/p>\n\n\n\n

4. Build-Measure-Learn<\/strong><\/h2>\n\n\n\n

The question is not whether a product can be built but whether it should be built. Companies can build things very efficiently that nobody wants. The build-measure-learn cycle involves turning ideas into products quickly, measuring how customers respond, and then learning whether or not to pivot or persevere. A minimum viable product only needs to include features necessary to learn what customers want.<\/p>\n\n\n\n

5. Innovation accounting<\/strong><\/h2>\n\n\n\n

Entrepreneurs need to be held accountable, but to a different set of metrics. Instead of having product milestones, innovators should have learning milestones. A measurable metric for learning is customer behavior. Product development focuses on improvement in customer retention instead of product sales. With learning milestones, companies give themselves a timeframe to meet a customer behavior baseline and choose whether or not to pivot.<\/p>\n","post_title":"A Competitive Edge for Corporations: The Lean Startup Method and Innovation","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation","to_ping":"","pinged":"","post_modified":"2019-12-27 20:45:15","post_modified_gmt":"2019-12-28 04:45:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/blog\/a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation\/","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"prev":false,"total_page":1},"paged":1,"column_class":"jeg_col_2o3","class":"epic_block_5"};

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\n

3. Validated learning<\/strong><\/h2>\n\n\n\n

Companies should move from simply making stuff to validated learning. With validated learning the unit of measurement is not how far along the team is on adding features, but how far along the company is on learning who they\u2019re customers are and what their customers need. As William Edwards Deming, an American engineer, said, \u201cThe customer is the most important part of the production line.\u201d Teams must rigorously assess whether they are learning how to build a sustainable business. And a sustainable business is one that first understands the customer\u2019s needs.<\/p>\n\n\n\n

4. Build-Measure-Learn<\/strong><\/h2>\n\n\n\n

The question is not whether a product can be built but whether it should be built. Companies can build things very efficiently that nobody wants. The build-measure-learn cycle involves turning ideas into products quickly, measuring how customers respond, and then learning whether or not to pivot or persevere. A minimum viable product only needs to include features necessary to learn what customers want.<\/p>\n\n\n\n

5. Innovation accounting<\/strong><\/h2>\n\n\n\n

Entrepreneurs need to be held accountable, but to a different set of metrics. Instead of having product milestones, innovators should have learning milestones. A measurable metric for learning is customer behavior. Product development focuses on improvement in customer retention instead of product sales. With learning milestones, companies give themselves a timeframe to meet a customer behavior baseline and choose whether or not to pivot.<\/p>\n","post_title":"A Competitive Edge for Corporations: The Lean Startup Method and Innovation","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation","to_ping":"","pinged":"","post_modified":"2019-12-27 20:45:15","post_modified_gmt":"2019-12-28 04:45:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/blog\/a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation\/","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"prev":false,"total_page":1},"paged":1,"column_class":"jeg_col_2o3","class":"epic_block_5"};

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\n

Eric Ries defines a startup as \u201ca human institution designed to create new products and services under conditions of extreme uncertainty.\u201d A startup is an experiment. Any size company can perform experiments. The key is to have a strategy when meeting failure. That is to pivot. When a company pivots, they stay grounded in what they\u2019ve learned and change directions. Since time is money, the path to success is reducing the amount of time between pivots.<\/p>\n\n\n\n

3. Validated learning<\/strong><\/h2>\n\n\n\n

Companies should move from simply making stuff to validated learning. With validated learning the unit of measurement is not how far along the team is on adding features, but how far along the company is on learning who they\u2019re customers are and what their customers need. As William Edwards Deming, an American engineer, said, \u201cThe customer is the most important part of the production line.\u201d Teams must rigorously assess whether they are learning how to build a sustainable business. And a sustainable business is one that first understands the customer\u2019s needs.<\/p>\n\n\n\n

4. Build-Measure-Learn<\/strong><\/h2>\n\n\n\n

The question is not whether a product can be built but whether it should be built. Companies can build things very efficiently that nobody wants. The build-measure-learn cycle involves turning ideas into products quickly, measuring how customers respond, and then learning whether or not to pivot or persevere. A minimum viable product only needs to include features necessary to learn what customers want.<\/p>\n\n\n\n

5. Innovation accounting<\/strong><\/h2>\n\n\n\n

Entrepreneurs need to be held accountable, but to a different set of metrics. Instead of having product milestones, innovators should have learning milestones. A measurable metric for learning is customer behavior. Product development focuses on improvement in customer retention instead of product sales. With learning milestones, companies give themselves a timeframe to meet a customer behavior baseline and choose whether or not to pivot.<\/p>\n","post_title":"A Competitive Edge for Corporations: The Lean Startup Method and Innovation","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation","to_ping":"","pinged":"","post_modified":"2019-12-27 20:45:15","post_modified_gmt":"2019-12-28 04:45:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/blog\/a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation\/","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"prev":false,"total_page":1},"paged":1,"column_class":"jeg_col_2o3","class":"epic_block_5"};

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\n

2. Entrepreneurship is management<\/strong><\/h2>\n\n\n\n

Eric Ries defines a startup as \u201ca human institution designed to create new products and services under conditions of extreme uncertainty.\u201d A startup is an experiment. Any size company can perform experiments. The key is to have a strategy when meeting failure. That is to pivot. When a company pivots, they stay grounded in what they\u2019ve learned and change directions. Since time is money, the path to success is reducing the amount of time between pivots.<\/p>\n\n\n\n

3. Validated learning<\/strong><\/h2>\n\n\n\n

Companies should move from simply making stuff to validated learning. With validated learning the unit of measurement is not how far along the team is on adding features, but how far along the company is on learning who they\u2019re customers are and what their customers need. As William Edwards Deming, an American engineer, said, \u201cThe customer is the most important part of the production line.\u201d Teams must rigorously assess whether they are learning how to build a sustainable business. And a sustainable business is one that first understands the customer\u2019s needs.<\/p>\n\n\n\n

4. Build-Measure-Learn<\/strong><\/h2>\n\n\n\n

The question is not whether a product can be built but whether it should be built. Companies can build things very efficiently that nobody wants. The build-measure-learn cycle involves turning ideas into products quickly, measuring how customers respond, and then learning whether or not to pivot or persevere. A minimum viable product only needs to include features necessary to learn what customers want.<\/p>\n\n\n\n

5. Innovation accounting<\/strong><\/h2>\n\n\n\n

Entrepreneurs need to be held accountable, but to a different set of metrics. Instead of having product milestones, innovators should have learning milestones. A measurable metric for learning is customer behavior. Product development focuses on improvement in customer retention instead of product sales. With learning milestones, companies give themselves a timeframe to meet a customer behavior baseline and choose whether or not to pivot.<\/p>\n","post_title":"A Competitive Edge for Corporations: The Lean Startup Method and Innovation","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation","to_ping":"","pinged":"","post_modified":"2019-12-27 20:45:15","post_modified_gmt":"2019-12-28 04:45:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/blog\/a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation\/","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"prev":false,"total_page":1},"paged":1,"column_class":"jeg_col_2o3","class":"epic_block_5"};

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\n

A modern company sees the creativity and talent of every employee as a precious resource. In order to leverage its entrepreneurs, a modern company needs to address all employees as entrepreneurs. Why? One, because we never know who the entrepreneurs are. Two, because most ideas are bad. If everyone can contribute ideas, companies have a greater chance of finding a good idea. But there needs to be a process as a company can\u2019t implement every idea, even with a lean startup strategy.<\/p>\n\n\n\n

2. Entrepreneurship is management<\/strong><\/h2>\n\n\n\n

Eric Ries defines a startup as \u201ca human institution designed to create new products and services under conditions of extreme uncertainty.\u201d A startup is an experiment. Any size company can perform experiments. The key is to have a strategy when meeting failure. That is to pivot. When a company pivots, they stay grounded in what they\u2019ve learned and change directions. Since time is money, the path to success is reducing the amount of time between pivots.<\/p>\n\n\n\n

3. Validated learning<\/strong><\/h2>\n\n\n\n

Companies should move from simply making stuff to validated learning. With validated learning the unit of measurement is not how far along the team is on adding features, but how far along the company is on learning who they\u2019re customers are and what their customers need. As William Edwards Deming, an American engineer, said, \u201cThe customer is the most important part of the production line.\u201d Teams must rigorously assess whether they are learning how to build a sustainable business. And a sustainable business is one that first understands the customer\u2019s needs.<\/p>\n\n\n\n

4. Build-Measure-Learn<\/strong><\/h2>\n\n\n\n

The question is not whether a product can be built but whether it should be built. Companies can build things very efficiently that nobody wants. The build-measure-learn cycle involves turning ideas into products quickly, measuring how customers respond, and then learning whether or not to pivot or persevere. A minimum viable product only needs to include features necessary to learn what customers want.<\/p>\n\n\n\n

5. Innovation accounting<\/strong><\/h2>\n\n\n\n

Entrepreneurs need to be held accountable, but to a different set of metrics. Instead of having product milestones, innovators should have learning milestones. A measurable metric for learning is customer behavior. Product development focuses on improvement in customer retention instead of product sales. With learning milestones, companies give themselves a timeframe to meet a customer behavior baseline and choose whether or not to pivot.<\/p>\n","post_title":"A Competitive Edge for Corporations: The Lean Startup Method and Innovation","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation","to_ping":"","pinged":"","post_modified":"2019-12-27 20:45:15","post_modified_gmt":"2019-12-28 04:45:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/blog\/a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation\/","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"prev":false,"total_page":1},"paged":1,"column_class":"jeg_col_2o3","class":"epic_block_5"};

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\n

1. Entrepreneurs are everywhere<\/strong><\/h2>\n\n\n\n

A modern company sees the creativity and talent of every employee as a precious resource. In order to leverage its entrepreneurs, a modern company needs to address all employees as entrepreneurs. Why? One, because we never know who the entrepreneurs are. Two, because most ideas are bad. If everyone can contribute ideas, companies have a greater chance of finding a good idea. But there needs to be a process as a company can\u2019t implement every idea, even with a lean startup strategy.<\/p>\n\n\n\n

2. Entrepreneurship is management<\/strong><\/h2>\n\n\n\n

Eric Ries defines a startup as \u201ca human institution designed to create new products and services under conditions of extreme uncertainty.\u201d A startup is an experiment. Any size company can perform experiments. The key is to have a strategy when meeting failure. That is to pivot. When a company pivots, they stay grounded in what they\u2019ve learned and change directions. Since time is money, the path to success is reducing the amount of time between pivots.<\/p>\n\n\n\n

3. Validated learning<\/strong><\/h2>\n\n\n\n

Companies should move from simply making stuff to validated learning. With validated learning the unit of measurement is not how far along the team is on adding features, but how far along the company is on learning who they\u2019re customers are and what their customers need. As William Edwards Deming, an American engineer, said, \u201cThe customer is the most important part of the production line.\u201d Teams must rigorously assess whether they are learning how to build a sustainable business. And a sustainable business is one that first understands the customer\u2019s needs.<\/p>\n\n\n\n

4. Build-Measure-Learn<\/strong><\/h2>\n\n\n\n

The question is not whether a product can be built but whether it should be built. Companies can build things very efficiently that nobody wants. The build-measure-learn cycle involves turning ideas into products quickly, measuring how customers respond, and then learning whether or not to pivot or persevere. A minimum viable product only needs to include features necessary to learn what customers want.<\/p>\n\n\n\n

5. Innovation accounting<\/strong><\/h2>\n\n\n\n

Entrepreneurs need to be held accountable, but to a different set of metrics. Instead of having product milestones, innovators should have learning milestones. A measurable metric for learning is customer behavior. Product development focuses on improvement in customer retention instead of product sales. With learning milestones, companies give themselves a timeframe to meet a customer behavior baseline and choose whether or not to pivot.<\/p>\n","post_title":"A Competitive Edge for Corporations: The Lean Startup Method and Innovation","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation","to_ping":"","pinged":"","post_modified":"2019-12-27 20:45:15","post_modified_gmt":"2019-12-28 04:45:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/blog\/a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation\/","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"prev":false,"total_page":1},"paged":1,"column_class":"jeg_col_2o3","class":"epic_block_5"};

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What do these lean startup principles mean for corporations?<\/p>\n\n\n\n

1. Entrepreneurs are everywhere<\/strong><\/h2>\n\n\n\n

A modern company sees the creativity and talent of every employee as a precious resource. In order to leverage its entrepreneurs, a modern company needs to address all employees as entrepreneurs. Why? One, because we never know who the entrepreneurs are. Two, because most ideas are bad. If everyone can contribute ideas, companies have a greater chance of finding a good idea. But there needs to be a process as a company can\u2019t implement every idea, even with a lean startup strategy.<\/p>\n\n\n\n

2. Entrepreneurship is management<\/strong><\/h2>\n\n\n\n

Eric Ries defines a startup as \u201ca human institution designed to create new products and services under conditions of extreme uncertainty.\u201d A startup is an experiment. Any size company can perform experiments. The key is to have a strategy when meeting failure. That is to pivot. When a company pivots, they stay grounded in what they\u2019ve learned and change directions. Since time is money, the path to success is reducing the amount of time between pivots.<\/p>\n\n\n\n

3. Validated learning<\/strong><\/h2>\n\n\n\n

Companies should move from simply making stuff to validated learning. With validated learning the unit of measurement is not how far along the team is on adding features, but how far along the company is on learning who they\u2019re customers are and what their customers need. As William Edwards Deming, an American engineer, said, \u201cThe customer is the most important part of the production line.\u201d Teams must rigorously assess whether they are learning how to build a sustainable business. And a sustainable business is one that first understands the customer\u2019s needs.<\/p>\n\n\n\n

4. Build-Measure-Learn<\/strong><\/h2>\n\n\n\n

The question is not whether a product can be built but whether it should be built. Companies can build things very efficiently that nobody wants. The build-measure-learn cycle involves turning ideas into products quickly, measuring how customers respond, and then learning whether or not to pivot or persevere. A minimum viable product only needs to include features necessary to learn what customers want.<\/p>\n\n\n\n

5. Innovation accounting<\/strong><\/h2>\n\n\n\n

Entrepreneurs need to be held accountable, but to a different set of metrics. Instead of having product milestones, innovators should have learning milestones. A measurable metric for learning is customer behavior. Product development focuses on improvement in customer retention instead of product sales. With learning milestones, companies give themselves a timeframe to meet a customer behavior baseline and choose whether or not to pivot.<\/p>\n","post_title":"A Competitive Edge for Corporations: The Lean Startup Method and Innovation","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation","to_ping":"","pinged":"","post_modified":"2019-12-27 20:45:15","post_modified_gmt":"2019-12-28 04:45:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/blog\/a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation\/","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"prev":false,"total_page":1},"paged":1,"column_class":"jeg_col_2o3","class":"epic_block_5"};

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\n
  1. Entrepreneurs are everywhere<\/li>
  2. Entrepreneurship is management<\/li>
  3. Validated learning<\/li>
  4. Build-Measure-Learn<\/li>
  5. Innovation accounting<\/li><\/ol>\n\n\n\n

    What do these lean startup principles mean for corporations?<\/p>\n\n\n\n

    1. Entrepreneurs are everywhere<\/strong><\/h2>\n\n\n\n

    A modern company sees the creativity and talent of every employee as a precious resource. In order to leverage its entrepreneurs, a modern company needs to address all employees as entrepreneurs. Why? One, because we never know who the entrepreneurs are. Two, because most ideas are bad. If everyone can contribute ideas, companies have a greater chance of finding a good idea. But there needs to be a process as a company can\u2019t implement every idea, even with a lean startup strategy.<\/p>\n\n\n\n

    2. Entrepreneurship is management<\/strong><\/h2>\n\n\n\n

    Eric Ries defines a startup as \u201ca human institution designed to create new products and services under conditions of extreme uncertainty.\u201d A startup is an experiment. Any size company can perform experiments. The key is to have a strategy when meeting failure. That is to pivot. When a company pivots, they stay grounded in what they\u2019ve learned and change directions. Since time is money, the path to success is reducing the amount of time between pivots.<\/p>\n\n\n\n

    3. Validated learning<\/strong><\/h2>\n\n\n\n

    Companies should move from simply making stuff to validated learning. With validated learning the unit of measurement is not how far along the team is on adding features, but how far along the company is on learning who they\u2019re customers are and what their customers need. As William Edwards Deming, an American engineer, said, \u201cThe customer is the most important part of the production line.\u201d Teams must rigorously assess whether they are learning how to build a sustainable business. And a sustainable business is one that first understands the customer\u2019s needs.<\/p>\n\n\n\n

    4. Build-Measure-Learn<\/strong><\/h2>\n\n\n\n

    The question is not whether a product can be built but whether it should be built. Companies can build things very efficiently that nobody wants. The build-measure-learn cycle involves turning ideas into products quickly, measuring how customers respond, and then learning whether or not to pivot or persevere. A minimum viable product only needs to include features necessary to learn what customers want.<\/p>\n\n\n\n

    5. Innovation accounting<\/strong><\/h2>\n\n\n\n

    Entrepreneurs need to be held accountable, but to a different set of metrics. Instead of having product milestones, innovators should have learning milestones. A measurable metric for learning is customer behavior. Product development focuses on improvement in customer retention instead of product sales. With learning milestones, companies give themselves a timeframe to meet a customer behavior baseline and choose whether or not to pivot.<\/p>\n","post_title":"A Competitive Edge for Corporations: The Lean Startup Method and Innovation","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation","to_ping":"","pinged":"","post_modified":"2019-12-27 20:45:15","post_modified_gmt":"2019-12-28 04:45:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/blog\/a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation\/","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"prev":false,"total_page":1},"paged":1,"column_class":"jeg_col_2o3","class":"epic_block_5"};

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    \n

    5 Principles of the Lean Startup Method:<\/p>\n\n\n\n

    1. Entrepreneurs are everywhere<\/li>
    2. Entrepreneurship is management<\/li>
    3. Validated learning<\/li>
    4. Build-Measure-Learn<\/li>
    5. Innovation accounting<\/li><\/ol>\n\n\n\n

      What do these lean startup principles mean for corporations?<\/p>\n\n\n\n

      1. Entrepreneurs are everywhere<\/strong><\/h2>\n\n\n\n

      A modern company sees the creativity and talent of every employee as a precious resource. In order to leverage its entrepreneurs, a modern company needs to address all employees as entrepreneurs. Why? One, because we never know who the entrepreneurs are. Two, because most ideas are bad. If everyone can contribute ideas, companies have a greater chance of finding a good idea. But there needs to be a process as a company can\u2019t implement every idea, even with a lean startup strategy.<\/p>\n\n\n\n

      2. Entrepreneurship is management<\/strong><\/h2>\n\n\n\n

      Eric Ries defines a startup as \u201ca human institution designed to create new products and services under conditions of extreme uncertainty.\u201d A startup is an experiment. Any size company can perform experiments. The key is to have a strategy when meeting failure. That is to pivot. When a company pivots, they stay grounded in what they\u2019ve learned and change directions. Since time is money, the path to success is reducing the amount of time between pivots.<\/p>\n\n\n\n

      3. Validated learning<\/strong><\/h2>\n\n\n\n

      Companies should move from simply making stuff to validated learning. With validated learning the unit of measurement is not how far along the team is on adding features, but how far along the company is on learning who they\u2019re customers are and what their customers need. As William Edwards Deming, an American engineer, said, \u201cThe customer is the most important part of the production line.\u201d Teams must rigorously assess whether they are learning how to build a sustainable business. And a sustainable business is one that first understands the customer\u2019s needs.<\/p>\n\n\n\n

      4. Build-Measure-Learn<\/strong><\/h2>\n\n\n\n

      The question is not whether a product can be built but whether it should be built. Companies can build things very efficiently that nobody wants. The build-measure-learn cycle involves turning ideas into products quickly, measuring how customers respond, and then learning whether or not to pivot or persevere. A minimum viable product only needs to include features necessary to learn what customers want.<\/p>\n\n\n\n

      5. Innovation accounting<\/strong><\/h2>\n\n\n\n

      Entrepreneurs need to be held accountable, but to a different set of metrics. Instead of having product milestones, innovators should have learning milestones. A measurable metric for learning is customer behavior. Product development focuses on improvement in customer retention instead of product sales. With learning milestones, companies give themselves a timeframe to meet a customer behavior baseline and choose whether or not to pivot.<\/p>\n","post_title":"A Competitive Edge for Corporations: The Lean Startup Method and Innovation","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation","to_ping":"","pinged":"","post_modified":"2019-12-27 20:45:15","post_modified_gmt":"2019-12-28 04:45:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/blog\/a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation\/","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"prev":false,"total_page":1},"paged":1,"column_class":"jeg_col_2o3","class":"epic_block_5"};

      Search

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      \n

      Eric Ries, author of The Lean Startup<\/i>, presents five principles of the lean startup method.<\/p>\n\n\n\n

      5 Principles of the Lean Startup Method:<\/p>\n\n\n\n

      1. Entrepreneurs are everywhere<\/li>
      2. Entrepreneurship is management<\/li>
      3. Validated learning<\/li>
      4. Build-Measure-Learn<\/li>
      5. Innovation accounting<\/li><\/ol>\n\n\n\n

        What do these lean startup principles mean for corporations?<\/p>\n\n\n\n

        1. Entrepreneurs are everywhere<\/strong><\/h2>\n\n\n\n

        A modern company sees the creativity and talent of every employee as a precious resource. In order to leverage its entrepreneurs, a modern company needs to address all employees as entrepreneurs. Why? One, because we never know who the entrepreneurs are. Two, because most ideas are bad. If everyone can contribute ideas, companies have a greater chance of finding a good idea. But there needs to be a process as a company can\u2019t implement every idea, even with a lean startup strategy.<\/p>\n\n\n\n

        2. Entrepreneurship is management<\/strong><\/h2>\n\n\n\n

        Eric Ries defines a startup as \u201ca human institution designed to create new products and services under conditions of extreme uncertainty.\u201d A startup is an experiment. Any size company can perform experiments. The key is to have a strategy when meeting failure. That is to pivot. When a company pivots, they stay grounded in what they\u2019ve learned and change directions. Since time is money, the path to success is reducing the amount of time between pivots.<\/p>\n\n\n\n

        3. Validated learning<\/strong><\/h2>\n\n\n\n

        Companies should move from simply making stuff to validated learning. With validated learning the unit of measurement is not how far along the team is on adding features, but how far along the company is on learning who they\u2019re customers are and what their customers need. As William Edwards Deming, an American engineer, said, \u201cThe customer is the most important part of the production line.\u201d Teams must rigorously assess whether they are learning how to build a sustainable business. And a sustainable business is one that first understands the customer\u2019s needs.<\/p>\n\n\n\n

        4. Build-Measure-Learn<\/strong><\/h2>\n\n\n\n

        The question is not whether a product can be built but whether it should be built. Companies can build things very efficiently that nobody wants. The build-measure-learn cycle involves turning ideas into products quickly, measuring how customers respond, and then learning whether or not to pivot or persevere. A minimum viable product only needs to include features necessary to learn what customers want.<\/p>\n\n\n\n

        5. Innovation accounting<\/strong><\/h2>\n\n\n\n

        Entrepreneurs need to be held accountable, but to a different set of metrics. Instead of having product milestones, innovators should have learning milestones. A measurable metric for learning is customer behavior. Product development focuses on improvement in customer retention instead of product sales. With learning milestones, companies give themselves a timeframe to meet a customer behavior baseline and choose whether or not to pivot.<\/p>\n","post_title":"A Competitive Edge for Corporations: The Lean Startup Method and Innovation","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation","to_ping":"","pinged":"","post_modified":"2019-12-27 20:45:15","post_modified_gmt":"2019-12-28 04:45:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/blog\/a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation\/","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"prev":false,"total_page":1},"paged":1,"column_class":"jeg_col_2o3","class":"epic_block_5"};

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        \n

        In order to test hypotheses, companies create a minimum viable product. A minimum viable product is a scaled down version of an expansive vision of a product that can be delivered quickly and inexpensively. A minimum viable product allows companies to rapidly test ideas and determine whether or not they work in order to change directions without investing too many resources.<\/p>\n\n\n\n

        Eric Ries, author of The Lean Startup<\/i>, presents five principles of the lean startup method.<\/p>\n\n\n\n

        5 Principles of the Lean Startup Method:<\/p>\n\n\n\n

        1. Entrepreneurs are everywhere<\/li>
        2. Entrepreneurship is management<\/li>
        3. Validated learning<\/li>
        4. Build-Measure-Learn<\/li>
        5. Innovation accounting<\/li><\/ol>\n\n\n\n

          What do these lean startup principles mean for corporations?<\/p>\n\n\n\n

          1. Entrepreneurs are everywhere<\/strong><\/h2>\n\n\n\n

          A modern company sees the creativity and talent of every employee as a precious resource. In order to leverage its entrepreneurs, a modern company needs to address all employees as entrepreneurs. Why? One, because we never know who the entrepreneurs are. Two, because most ideas are bad. If everyone can contribute ideas, companies have a greater chance of finding a good idea. But there needs to be a process as a company can\u2019t implement every idea, even with a lean startup strategy.<\/p>\n\n\n\n

          2. Entrepreneurship is management<\/strong><\/h2>\n\n\n\n

          Eric Ries defines a startup as \u201ca human institution designed to create new products and services under conditions of extreme uncertainty.\u201d A startup is an experiment. Any size company can perform experiments. The key is to have a strategy when meeting failure. That is to pivot. When a company pivots, they stay grounded in what they\u2019ve learned and change directions. Since time is money, the path to success is reducing the amount of time between pivots.<\/p>\n\n\n\n

          3. Validated learning<\/strong><\/h2>\n\n\n\n

          Companies should move from simply making stuff to validated learning. With validated learning the unit of measurement is not how far along the team is on adding features, but how far along the company is on learning who they\u2019re customers are and what their customers need. As William Edwards Deming, an American engineer, said, \u201cThe customer is the most important part of the production line.\u201d Teams must rigorously assess whether they are learning how to build a sustainable business. And a sustainable business is one that first understands the customer\u2019s needs.<\/p>\n\n\n\n

          4. Build-Measure-Learn<\/strong><\/h2>\n\n\n\n

          The question is not whether a product can be built but whether it should be built. Companies can build things very efficiently that nobody wants. The build-measure-learn cycle involves turning ideas into products quickly, measuring how customers respond, and then learning whether or not to pivot or persevere. A minimum viable product only needs to include features necessary to learn what customers want.<\/p>\n\n\n\n

          5. Innovation accounting<\/strong><\/h2>\n\n\n\n

          Entrepreneurs need to be held accountable, but to a different set of metrics. Instead of having product milestones, innovators should have learning milestones. A measurable metric for learning is customer behavior. Product development focuses on improvement in customer retention instead of product sales. With learning milestones, companies give themselves a timeframe to meet a customer behavior baseline and choose whether or not to pivot.<\/p>\n","post_title":"A Competitive Edge for Corporations: The Lean Startup Method and Innovation","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation","to_ping":"","pinged":"","post_modified":"2019-12-27 20:45:15","post_modified_gmt":"2019-12-28 04:45:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/blog\/a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation\/","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"prev":false,"total_page":1},"paged":1,"column_class":"jeg_col_2o3","class":"epic_block_5"};

          Search

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          \n

          The lean startup method takes ideas around lean manufacturing and applies them to the process of innovation. Instead of using a business plan as a prediction of the future, a company turns the business plan into a series of hypotheses, such as what customers do or don\u2019t want, and then quickly performs experiments to test these hypotheses.<\/p>\n\n\n\n

          In order to test hypotheses, companies create a minimum viable product. A minimum viable product is a scaled down version of an expansive vision of a product that can be delivered quickly and inexpensively. A minimum viable product allows companies to rapidly test ideas and determine whether or not they work in order to change directions without investing too many resources.<\/p>\n\n\n\n

          Eric Ries, author of The Lean Startup<\/i>, presents five principles of the lean startup method.<\/p>\n\n\n\n

          5 Principles of the Lean Startup Method:<\/p>\n\n\n\n

          1. Entrepreneurs are everywhere<\/li>
          2. Entrepreneurship is management<\/li>
          3. Validated learning<\/li>
          4. Build-Measure-Learn<\/li>
          5. Innovation accounting<\/li><\/ol>\n\n\n\n

            What do these lean startup principles mean for corporations?<\/p>\n\n\n\n

            1. Entrepreneurs are everywhere<\/strong><\/h2>\n\n\n\n

            A modern company sees the creativity and talent of every employee as a precious resource. In order to leverage its entrepreneurs, a modern company needs to address all employees as entrepreneurs. Why? One, because we never know who the entrepreneurs are. Two, because most ideas are bad. If everyone can contribute ideas, companies have a greater chance of finding a good idea. But there needs to be a process as a company can\u2019t implement every idea, even with a lean startup strategy.<\/p>\n\n\n\n

            2. Entrepreneurship is management<\/strong><\/h2>\n\n\n\n

            Eric Ries defines a startup as \u201ca human institution designed to create new products and services under conditions of extreme uncertainty.\u201d A startup is an experiment. Any size company can perform experiments. The key is to have a strategy when meeting failure. That is to pivot. When a company pivots, they stay grounded in what they\u2019ve learned and change directions. Since time is money, the path to success is reducing the amount of time between pivots.<\/p>\n\n\n\n

            3. Validated learning<\/strong><\/h2>\n\n\n\n

            Companies should move from simply making stuff to validated learning. With validated learning the unit of measurement is not how far along the team is on adding features, but how far along the company is on learning who they\u2019re customers are and what their customers need. As William Edwards Deming, an American engineer, said, \u201cThe customer is the most important part of the production line.\u201d Teams must rigorously assess whether they are learning how to build a sustainable business. And a sustainable business is one that first understands the customer\u2019s needs.<\/p>\n\n\n\n

            4. Build-Measure-Learn<\/strong><\/h2>\n\n\n\n

            The question is not whether a product can be built but whether it should be built. Companies can build things very efficiently that nobody wants. The build-measure-learn cycle involves turning ideas into products quickly, measuring how customers respond, and then learning whether or not to pivot or persevere. A minimum viable product only needs to include features necessary to learn what customers want.<\/p>\n\n\n\n

            5. Innovation accounting<\/strong><\/h2>\n\n\n\n

            Entrepreneurs need to be held accountable, but to a different set of metrics. Instead of having product milestones, innovators should have learning milestones. A measurable metric for learning is customer behavior. Product development focuses on improvement in customer retention instead of product sales. With learning milestones, companies give themselves a timeframe to meet a customer behavior baseline and choose whether or not to pivot.<\/p>\n","post_title":"A Competitive Edge for Corporations: The Lean Startup Method and Innovation","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation","to_ping":"","pinged":"","post_modified":"2019-12-27 20:45:15","post_modified_gmt":"2019-12-28 04:45:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/blog\/a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation\/","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"prev":false,"total_page":1},"paged":1,"column_class":"jeg_col_2o3","class":"epic_block_5"};

            Search

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            \n

            Corporations don\u2019t have five to ten years to waste developing a product that no one wants. Instead of building a plan and following it without question, companies should focus on implementing ideas quickly to determine whether they are good enough to spend more resources on. That\u2019s where the lean startup method comes in to jumpstart corporate innovation strategies.<\/p>\n\n\n\n

            The lean startup method takes ideas around lean manufacturing and applies them to the process of innovation. Instead of using a business plan as a prediction of the future, a company turns the business plan into a series of hypotheses, such as what customers do or don\u2019t want, and then quickly performs experiments to test these hypotheses.<\/p>\n\n\n\n

            In order to test hypotheses, companies create a minimum viable product. A minimum viable product is a scaled down version of an expansive vision of a product that can be delivered quickly and inexpensively. A minimum viable product allows companies to rapidly test ideas and determine whether or not they work in order to change directions without investing too many resources.<\/p>\n\n\n\n

            Eric Ries, author of The Lean Startup<\/i>, presents five principles of the lean startup method.<\/p>\n\n\n\n

            5 Principles of the Lean Startup Method:<\/p>\n\n\n\n

            1. Entrepreneurs are everywhere<\/li>
            2. Entrepreneurship is management<\/li>
            3. Validated learning<\/li>
            4. Build-Measure-Learn<\/li>
            5. Innovation accounting<\/li><\/ol>\n\n\n\n

              What do these lean startup principles mean for corporations?<\/p>\n\n\n\n

              1. Entrepreneurs are everywhere<\/strong><\/h2>\n\n\n\n

              A modern company sees the creativity and talent of every employee as a precious resource. In order to leverage its entrepreneurs, a modern company needs to address all employees as entrepreneurs. Why? One, because we never know who the entrepreneurs are. Two, because most ideas are bad. If everyone can contribute ideas, companies have a greater chance of finding a good idea. But there needs to be a process as a company can\u2019t implement every idea, even with a lean startup strategy.<\/p>\n\n\n\n

              2. Entrepreneurship is management<\/strong><\/h2>\n\n\n\n

              Eric Ries defines a startup as \u201ca human institution designed to create new products and services under conditions of extreme uncertainty.\u201d A startup is an experiment. Any size company can perform experiments. The key is to have a strategy when meeting failure. That is to pivot. When a company pivots, they stay grounded in what they\u2019ve learned and change directions. Since time is money, the path to success is reducing the amount of time between pivots.<\/p>\n\n\n\n

              3. Validated learning<\/strong><\/h2>\n\n\n\n

              Companies should move from simply making stuff to validated learning. With validated learning the unit of measurement is not how far along the team is on adding features, but how far along the company is on learning who they\u2019re customers are and what their customers need. As William Edwards Deming, an American engineer, said, \u201cThe customer is the most important part of the production line.\u201d Teams must rigorously assess whether they are learning how to build a sustainable business. And a sustainable business is one that first understands the customer\u2019s needs.<\/p>\n\n\n\n

              4. Build-Measure-Learn<\/strong><\/h2>\n\n\n\n

              The question is not whether a product can be built but whether it should be built. Companies can build things very efficiently that nobody wants. The build-measure-learn cycle involves turning ideas into products quickly, measuring how customers respond, and then learning whether or not to pivot or persevere. A minimum viable product only needs to include features necessary to learn what customers want.<\/p>\n\n\n\n

              5. Innovation accounting<\/strong><\/h2>\n\n\n\n

              Entrepreneurs need to be held accountable, but to a different set of metrics. Instead of having product milestones, innovators should have learning milestones. A measurable metric for learning is customer behavior. Product development focuses on improvement in customer retention instead of product sales. With learning milestones, companies give themselves a timeframe to meet a customer behavior baseline and choose whether or not to pivot.<\/p>\n","post_title":"A Competitive Edge for Corporations: The Lean Startup Method and Innovation","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation","to_ping":"","pinged":"","post_modified":"2019-12-27 20:45:15","post_modified_gmt":"2019-12-28 04:45:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/blog\/a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation\/","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"prev":false,"total_page":1},"paged":1,"column_class":"jeg_col_2o3","class":"epic_block_5"};

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              \n

              Whether it's in healthcare, logistics, finance, or any other industry, the potential applications of AI are endless. And with the continued progress and innovation of these top startups, we can be confident that we are moving ever closer to a future where AI plays a central role in driving progress and improving our lives.<\/p>\n","post_title":"Huge AI Step in Last Quarter: Exciting Developments from Top AI Startups","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"huge-ai-step-in-last-quarter","to_ping":"","pinged":"","post_modified":"2023-05-11 13:08:34","post_modified_gmt":"2023-05-11 20:08:34","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/?p=9606","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":744,"post_author":"1","post_date":"2018-05-07 23:21:00","post_date_gmt":"2018-05-08 06:21:00","post_content":"\n

              Corporations don\u2019t have five to ten years to waste developing a product that no one wants. Instead of building a plan and following it without question, companies should focus on implementing ideas quickly to determine whether they are good enough to spend more resources on. That\u2019s where the lean startup method comes in to jumpstart corporate innovation strategies.<\/p>\n\n\n\n

              The lean startup method takes ideas around lean manufacturing and applies them to the process of innovation. Instead of using a business plan as a prediction of the future, a company turns the business plan into a series of hypotheses, such as what customers do or don\u2019t want, and then quickly performs experiments to test these hypotheses.<\/p>\n\n\n\n

              In order to test hypotheses, companies create a minimum viable product. A minimum viable product is a scaled down version of an expansive vision of a product that can be delivered quickly and inexpensively. A minimum viable product allows companies to rapidly test ideas and determine whether or not they work in order to change directions without investing too many resources.<\/p>\n\n\n\n

              Eric Ries, author of The Lean Startup<\/i>, presents five principles of the lean startup method.<\/p>\n\n\n\n

              5 Principles of the Lean Startup Method:<\/p>\n\n\n\n

              1. Entrepreneurs are everywhere<\/li>
              2. Entrepreneurship is management<\/li>
              3. Validated learning<\/li>
              4. Build-Measure-Learn<\/li>
              5. Innovation accounting<\/li><\/ol>\n\n\n\n

                What do these lean startup principles mean for corporations?<\/p>\n\n\n\n

                1. Entrepreneurs are everywhere<\/strong><\/h2>\n\n\n\n

                A modern company sees the creativity and talent of every employee as a precious resource. In order to leverage its entrepreneurs, a modern company needs to address all employees as entrepreneurs. Why? One, because we never know who the entrepreneurs are. Two, because most ideas are bad. If everyone can contribute ideas, companies have a greater chance of finding a good idea. But there needs to be a process as a company can\u2019t implement every idea, even with a lean startup strategy.<\/p>\n\n\n\n

                2. Entrepreneurship is management<\/strong><\/h2>\n\n\n\n

                Eric Ries defines a startup as \u201ca human institution designed to create new products and services under conditions of extreme uncertainty.\u201d A startup is an experiment. Any size company can perform experiments. The key is to have a strategy when meeting failure. That is to pivot. When a company pivots, they stay grounded in what they\u2019ve learned and change directions. Since time is money, the path to success is reducing the amount of time between pivots.<\/p>\n\n\n\n

                3. Validated learning<\/strong><\/h2>\n\n\n\n

                Companies should move from simply making stuff to validated learning. With validated learning the unit of measurement is not how far along the team is on adding features, but how far along the company is on learning who they\u2019re customers are and what their customers need. As William Edwards Deming, an American engineer, said, \u201cThe customer is the most important part of the production line.\u201d Teams must rigorously assess whether they are learning how to build a sustainable business. And a sustainable business is one that first understands the customer\u2019s needs.<\/p>\n\n\n\n

                4. Build-Measure-Learn<\/strong><\/h2>\n\n\n\n

                The question is not whether a product can be built but whether it should be built. Companies can build things very efficiently that nobody wants. The build-measure-learn cycle involves turning ideas into products quickly, measuring how customers respond, and then learning whether or not to pivot or persevere. A minimum viable product only needs to include features necessary to learn what customers want.<\/p>\n\n\n\n

                5. Innovation accounting<\/strong><\/h2>\n\n\n\n

                Entrepreneurs need to be held accountable, but to a different set of metrics. Instead of having product milestones, innovators should have learning milestones. A measurable metric for learning is customer behavior. Product development focuses on improvement in customer retention instead of product sales. With learning milestones, companies give themselves a timeframe to meet a customer behavior baseline and choose whether or not to pivot.<\/p>\n","post_title":"A Competitive Edge for Corporations: The Lean Startup Method and Innovation","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation","to_ping":"","pinged":"","post_modified":"2019-12-27 20:45:15","post_modified_gmt":"2019-12-28 04:45:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/blog\/a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation\/","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"prev":false,"total_page":1},"paged":1,"column_class":"jeg_col_2o3","class":"epic_block_5"};

                Search

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                \n

                As AI continues to play an increasingly important role in our lives and society, these startups will undoubtedly play a key role in shaping its future. By developing more accurate and efficient models, expanding their operations, and pushing for greater fairness and inclusivity, these startups are setting a high bar for the industry as a whole.<\/p>\n\n\n\n

                Whether it's in healthcare, logistics, finance, or any other industry, the potential applications of AI are endless. And with the continued progress and innovation of these top startups, we can be confident that we are moving ever closer to a future where AI plays a central role in driving progress and improving our lives.<\/p>\n","post_title":"Huge AI Step in Last Quarter: Exciting Developments from Top AI Startups","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"huge-ai-step-in-last-quarter","to_ping":"","pinged":"","post_modified":"2023-05-11 13:08:34","post_modified_gmt":"2023-05-11 20:08:34","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/?p=9606","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":744,"post_author":"1","post_date":"2018-05-07 23:21:00","post_date_gmt":"2018-05-08 06:21:00","post_content":"\n

                Corporations don\u2019t have five to ten years to waste developing a product that no one wants. Instead of building a plan and following it without question, companies should focus on implementing ideas quickly to determine whether they are good enough to spend more resources on. That\u2019s where the lean startup method comes in to jumpstart corporate innovation strategies.<\/p>\n\n\n\n

                The lean startup method takes ideas around lean manufacturing and applies them to the process of innovation. Instead of using a business plan as a prediction of the future, a company turns the business plan into a series of hypotheses, such as what customers do or don\u2019t want, and then quickly performs experiments to test these hypotheses.<\/p>\n\n\n\n

                In order to test hypotheses, companies create a minimum viable product. A minimum viable product is a scaled down version of an expansive vision of a product that can be delivered quickly and inexpensively. A minimum viable product allows companies to rapidly test ideas and determine whether or not they work in order to change directions without investing too many resources.<\/p>\n\n\n\n

                Eric Ries, author of The Lean Startup<\/i>, presents five principles of the lean startup method.<\/p>\n\n\n\n

                5 Principles of the Lean Startup Method:<\/p>\n\n\n\n

                1. Entrepreneurs are everywhere<\/li>
                2. Entrepreneurship is management<\/li>
                3. Validated learning<\/li>
                4. Build-Measure-Learn<\/li>
                5. Innovation accounting<\/li><\/ol>\n\n\n\n

                  What do these lean startup principles mean for corporations?<\/p>\n\n\n\n

                  1. Entrepreneurs are everywhere<\/strong><\/h2>\n\n\n\n

                  A modern company sees the creativity and talent of every employee as a precious resource. In order to leverage its entrepreneurs, a modern company needs to address all employees as entrepreneurs. Why? One, because we never know who the entrepreneurs are. Two, because most ideas are bad. If everyone can contribute ideas, companies have a greater chance of finding a good idea. But there needs to be a process as a company can\u2019t implement every idea, even with a lean startup strategy.<\/p>\n\n\n\n

                  2. Entrepreneurship is management<\/strong><\/h2>\n\n\n\n

                  Eric Ries defines a startup as \u201ca human institution designed to create new products and services under conditions of extreme uncertainty.\u201d A startup is an experiment. Any size company can perform experiments. The key is to have a strategy when meeting failure. That is to pivot. When a company pivots, they stay grounded in what they\u2019ve learned and change directions. Since time is money, the path to success is reducing the amount of time between pivots.<\/p>\n\n\n\n

                  3. Validated learning<\/strong><\/h2>\n\n\n\n

                  Companies should move from simply making stuff to validated learning. With validated learning the unit of measurement is not how far along the team is on adding features, but how far along the company is on learning who they\u2019re customers are and what their customers need. As William Edwards Deming, an American engineer, said, \u201cThe customer is the most important part of the production line.\u201d Teams must rigorously assess whether they are learning how to build a sustainable business. And a sustainable business is one that first understands the customer\u2019s needs.<\/p>\n\n\n\n

                  4. Build-Measure-Learn<\/strong><\/h2>\n\n\n\n

                  The question is not whether a product can be built but whether it should be built. Companies can build things very efficiently that nobody wants. The build-measure-learn cycle involves turning ideas into products quickly, measuring how customers respond, and then learning whether or not to pivot or persevere. A minimum viable product only needs to include features necessary to learn what customers want.<\/p>\n\n\n\n

                  5. Innovation accounting<\/strong><\/h2>\n\n\n\n

                  Entrepreneurs need to be held accountable, but to a different set of metrics. Instead of having product milestones, innovators should have learning milestones. A measurable metric for learning is customer behavior. Product development focuses on improvement in customer retention instead of product sales. With learning milestones, companies give themselves a timeframe to meet a customer behavior baseline and choose whether or not to pivot.<\/p>\n","post_title":"A Competitive Edge for Corporations: The Lean Startup Method and Innovation","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation","to_ping":"","pinged":"","post_modified":"2019-12-27 20:45:15","post_modified_gmt":"2019-12-28 04:45:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/blog\/a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation\/","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"prev":false,"total_page":1},"paged":1,"column_class":"jeg_col_2o3","class":"epic_block_5"};

                  Search

                  Latest

                  \n

                  In conclusion, the last quarter has been an exciting time for AI startups, as they continue to make impressive advancements in the field. From OpenAI's GPT-3 language model to Nuro's autonomous delivery vehicles, these startups are pushing the boundaries of what is possible with AI, and paving the way for new applications and innovations.<\/p>\n\n\n\n

                  As AI continues to play an increasingly important role in our lives and society, these startups will undoubtedly play a key role in shaping its future. By developing more accurate and efficient models, expanding their operations, and pushing for greater fairness and inclusivity, these startups are setting a high bar for the industry as a whole.<\/p>\n\n\n\n

                  Whether it's in healthcare, logistics, finance, or any other industry, the potential applications of AI are endless. And with the continued progress and innovation of these top startups, we can be confident that we are moving ever closer to a future where AI plays a central role in driving progress and improving our lives.<\/p>\n","post_title":"Huge AI Step in Last Quarter: Exciting Developments from Top AI Startups","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"huge-ai-step-in-last-quarter","to_ping":"","pinged":"","post_modified":"2023-05-11 13:08:34","post_modified_gmt":"2023-05-11 20:08:34","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/?p=9606","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":744,"post_author":"1","post_date":"2018-05-07 23:21:00","post_date_gmt":"2018-05-08 06:21:00","post_content":"\n

                  Corporations don\u2019t have five to ten years to waste developing a product that no one wants. Instead of building a plan and following it without question, companies should focus on implementing ideas quickly to determine whether they are good enough to spend more resources on. That\u2019s where the lean startup method comes in to jumpstart corporate innovation strategies.<\/p>\n\n\n\n

                  The lean startup method takes ideas around lean manufacturing and applies them to the process of innovation. Instead of using a business plan as a prediction of the future, a company turns the business plan into a series of hypotheses, such as what customers do or don\u2019t want, and then quickly performs experiments to test these hypotheses.<\/p>\n\n\n\n

                  In order to test hypotheses, companies create a minimum viable product. A minimum viable product is a scaled down version of an expansive vision of a product that can be delivered quickly and inexpensively. A minimum viable product allows companies to rapidly test ideas and determine whether or not they work in order to change directions without investing too many resources.<\/p>\n\n\n\n

                  Eric Ries, author of The Lean Startup<\/i>, presents five principles of the lean startup method.<\/p>\n\n\n\n

                  5 Principles of the Lean Startup Method:<\/p>\n\n\n\n

                  1. Entrepreneurs are everywhere<\/li>
                  2. Entrepreneurship is management<\/li>
                  3. Validated learning<\/li>
                  4. Build-Measure-Learn<\/li>
                  5. Innovation accounting<\/li><\/ol>\n\n\n\n

                    What do these lean startup principles mean for corporations?<\/p>\n\n\n\n

                    1. Entrepreneurs are everywhere<\/strong><\/h2>\n\n\n\n

                    A modern company sees the creativity and talent of every employee as a precious resource. In order to leverage its entrepreneurs, a modern company needs to address all employees as entrepreneurs. Why? One, because we never know who the entrepreneurs are. Two, because most ideas are bad. If everyone can contribute ideas, companies have a greater chance of finding a good idea. But there needs to be a process as a company can\u2019t implement every idea, even with a lean startup strategy.<\/p>\n\n\n\n

                    2. Entrepreneurship is management<\/strong><\/h2>\n\n\n\n

                    Eric Ries defines a startup as \u201ca human institution designed to create new products and services under conditions of extreme uncertainty.\u201d A startup is an experiment. Any size company can perform experiments. The key is to have a strategy when meeting failure. That is to pivot. When a company pivots, they stay grounded in what they\u2019ve learned and change directions. Since time is money, the path to success is reducing the amount of time between pivots.<\/p>\n\n\n\n

                    3. Validated learning<\/strong><\/h2>\n\n\n\n

                    Companies should move from simply making stuff to validated learning. With validated learning the unit of measurement is not how far along the team is on adding features, but how far along the company is on learning who they\u2019re customers are and what their customers need. As William Edwards Deming, an American engineer, said, \u201cThe customer is the most important part of the production line.\u201d Teams must rigorously assess whether they are learning how to build a sustainable business. And a sustainable business is one that first understands the customer\u2019s needs.<\/p>\n\n\n\n

                    4. Build-Measure-Learn<\/strong><\/h2>\n\n\n\n

                    The question is not whether a product can be built but whether it should be built. Companies can build things very efficiently that nobody wants. The build-measure-learn cycle involves turning ideas into products quickly, measuring how customers respond, and then learning whether or not to pivot or persevere. A minimum viable product only needs to include features necessary to learn what customers want.<\/p>\n\n\n\n

                    5. Innovation accounting<\/strong><\/h2>\n\n\n\n

                    Entrepreneurs need to be held accountable, but to a different set of metrics. Instead of having product milestones, innovators should have learning milestones. A measurable metric for learning is customer behavior. Product development focuses on improvement in customer retention instead of product sales. With learning milestones, companies give themselves a timeframe to meet a customer behavior baseline and choose whether or not to pivot.<\/p>\n","post_title":"A Competitive Edge for Corporations: The Lean Startup Method and Innovation","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation","to_ping":"","pinged":"","post_modified":"2019-12-27 20:45:15","post_modified_gmt":"2019-12-28 04:45:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/blog\/a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation\/","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"prev":false,"total_page":1},"paged":1,"column_class":"jeg_col_2o3","class":"epic_block_5"};

                    Search

                    Latest

                    \n

                    Zest AI, a machine learning platform that specializes in credit underwriting and risk assessment for financial institutions, has made important strides in the last quarter towards developing more fair and equitable credit scoring models. The company announced that it had created a new algorithm that significantly reduces the impact of race, gender, and other demographic factors on credit scores, making the process more inclusive and unbiased.<\/p>\n\n\n\n

                    In conclusion, the last quarter has been an exciting time for AI startups, as they continue to make impressive advancements in the field. From OpenAI's GPT-3 language model to Nuro's autonomous delivery vehicles, these startups are pushing the boundaries of what is possible with AI, and paving the way for new applications and innovations.<\/p>\n\n\n\n

                    As AI continues to play an increasingly important role in our lives and society, these startups will undoubtedly play a key role in shaping its future. By developing more accurate and efficient models, expanding their operations, and pushing for greater fairness and inclusivity, these startups are setting a high bar for the industry as a whole.<\/p>\n\n\n\n

                    Whether it's in healthcare, logistics, finance, or any other industry, the potential applications of AI are endless. And with the continued progress and innovation of these top startups, we can be confident that we are moving ever closer to a future where AI plays a central role in driving progress and improving our lives.<\/p>\n","post_title":"Huge AI Step in Last Quarter: Exciting Developments from Top AI Startups","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"huge-ai-step-in-last-quarter","to_ping":"","pinged":"","post_modified":"2023-05-11 13:08:34","post_modified_gmt":"2023-05-11 20:08:34","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/?p=9606","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":744,"post_author":"1","post_date":"2018-05-07 23:21:00","post_date_gmt":"2018-05-08 06:21:00","post_content":"\n

                    Corporations don\u2019t have five to ten years to waste developing a product that no one wants. Instead of building a plan and following it without question, companies should focus on implementing ideas quickly to determine whether they are good enough to spend more resources on. That\u2019s where the lean startup method comes in to jumpstart corporate innovation strategies.<\/p>\n\n\n\n

                    The lean startup method takes ideas around lean manufacturing and applies them to the process of innovation. Instead of using a business plan as a prediction of the future, a company turns the business plan into a series of hypotheses, such as what customers do or don\u2019t want, and then quickly performs experiments to test these hypotheses.<\/p>\n\n\n\n

                    In order to test hypotheses, companies create a minimum viable product. A minimum viable product is a scaled down version of an expansive vision of a product that can be delivered quickly and inexpensively. A minimum viable product allows companies to rapidly test ideas and determine whether or not they work in order to change directions without investing too many resources.<\/p>\n\n\n\n

                    Eric Ries, author of The Lean Startup<\/i>, presents five principles of the lean startup method.<\/p>\n\n\n\n

                    5 Principles of the Lean Startup Method:<\/p>\n\n\n\n

                    1. Entrepreneurs are everywhere<\/li>
                    2. Entrepreneurship is management<\/li>
                    3. Validated learning<\/li>
                    4. Build-Measure-Learn<\/li>
                    5. Innovation accounting<\/li><\/ol>\n\n\n\n

                      What do these lean startup principles mean for corporations?<\/p>\n\n\n\n

                      1. Entrepreneurs are everywhere<\/strong><\/h2>\n\n\n\n

                      A modern company sees the creativity and talent of every employee as a precious resource. In order to leverage its entrepreneurs, a modern company needs to address all employees as entrepreneurs. Why? One, because we never know who the entrepreneurs are. Two, because most ideas are bad. If everyone can contribute ideas, companies have a greater chance of finding a good idea. But there needs to be a process as a company can\u2019t implement every idea, even with a lean startup strategy.<\/p>\n\n\n\n

                      2. Entrepreneurship is management<\/strong><\/h2>\n\n\n\n

                      Eric Ries defines a startup as \u201ca human institution designed to create new products and services under conditions of extreme uncertainty.\u201d A startup is an experiment. Any size company can perform experiments. The key is to have a strategy when meeting failure. That is to pivot. When a company pivots, they stay grounded in what they\u2019ve learned and change directions. Since time is money, the path to success is reducing the amount of time between pivots.<\/p>\n\n\n\n

                      3. Validated learning<\/strong><\/h2>\n\n\n\n

                      Companies should move from simply making stuff to validated learning. With validated learning the unit of measurement is not how far along the team is on adding features, but how far along the company is on learning who they\u2019re customers are and what their customers need. As William Edwards Deming, an American engineer, said, \u201cThe customer is the most important part of the production line.\u201d Teams must rigorously assess whether they are learning how to build a sustainable business. And a sustainable business is one that first understands the customer\u2019s needs.<\/p>\n\n\n\n

                      4. Build-Measure-Learn<\/strong><\/h2>\n\n\n\n

                      The question is not whether a product can be built but whether it should be built. Companies can build things very efficiently that nobody wants. The build-measure-learn cycle involves turning ideas into products quickly, measuring how customers respond, and then learning whether or not to pivot or persevere. A minimum viable product only needs to include features necessary to learn what customers want.<\/p>\n\n\n\n

                      5. Innovation accounting<\/strong><\/h2>\n\n\n\n

                      Entrepreneurs need to be held accountable, but to a different set of metrics. Instead of having product milestones, innovators should have learning milestones. A measurable metric for learning is customer behavior. Product development focuses on improvement in customer retention instead of product sales. With learning milestones, companies give themselves a timeframe to meet a customer behavior baseline and choose whether or not to pivot.<\/p>\n","post_title":"A Competitive Edge for Corporations: The Lean Startup Method and Innovation","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation","to_ping":"","pinged":"","post_modified":"2019-12-27 20:45:15","post_modified_gmt":"2019-12-28 04:45:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/blog\/a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation\/","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"prev":false,"total_page":1},"paged":1,"column_class":"jeg_col_2o3","class":"epic_block_5"};

                      Search

                      Latest

                      \n
                    6. Zest AI: Fairness in Credit Scoring<\/a><\/li>\n<\/ol>\n\n\n\n

                      Zest AI, a machine learning platform that specializes in credit underwriting and risk assessment for financial institutions, has made important strides in the last quarter towards developing more fair and equitable credit scoring models. The company announced that it had created a new algorithm that significantly reduces the impact of race, gender, and other demographic factors on credit scores, making the process more inclusive and unbiased.<\/p>\n\n\n\n

                      In conclusion, the last quarter has been an exciting time for AI startups, as they continue to make impressive advancements in the field. From OpenAI's GPT-3 language model to Nuro's autonomous delivery vehicles, these startups are pushing the boundaries of what is possible with AI, and paving the way for new applications and innovations.<\/p>\n\n\n\n

                      As AI continues to play an increasingly important role in our lives and society, these startups will undoubtedly play a key role in shaping its future. By developing more accurate and efficient models, expanding their operations, and pushing for greater fairness and inclusivity, these startups are setting a high bar for the industry as a whole.<\/p>\n\n\n\n

                      Whether it's in healthcare, logistics, finance, or any other industry, the potential applications of AI are endless. And with the continued progress and innovation of these top startups, we can be confident that we are moving ever closer to a future where AI plays a central role in driving progress and improving our lives.<\/p>\n","post_title":"Huge AI Step in Last Quarter: Exciting Developments from Top AI Startups","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"huge-ai-step-in-last-quarter","to_ping":"","pinged":"","post_modified":"2023-05-11 13:08:34","post_modified_gmt":"2023-05-11 20:08:34","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/?p=9606","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":744,"post_author":"1","post_date":"2018-05-07 23:21:00","post_date_gmt":"2018-05-08 06:21:00","post_content":"\n

                      Corporations don\u2019t have five to ten years to waste developing a product that no one wants. Instead of building a plan and following it without question, companies should focus on implementing ideas quickly to determine whether they are good enough to spend more resources on. That\u2019s where the lean startup method comes in to jumpstart corporate innovation strategies.<\/p>\n\n\n\n

                      The lean startup method takes ideas around lean manufacturing and applies them to the process of innovation. Instead of using a business plan as a prediction of the future, a company turns the business plan into a series of hypotheses, such as what customers do or don\u2019t want, and then quickly performs experiments to test these hypotheses.<\/p>\n\n\n\n

                      In order to test hypotheses, companies create a minimum viable product. A minimum viable product is a scaled down version of an expansive vision of a product that can be delivered quickly and inexpensively. A minimum viable product allows companies to rapidly test ideas and determine whether or not they work in order to change directions without investing too many resources.<\/p>\n\n\n\n

                      Eric Ries, author of The Lean Startup<\/i>, presents five principles of the lean startup method.<\/p>\n\n\n\n

                      5 Principles of the Lean Startup Method:<\/p>\n\n\n\n

                      1. Entrepreneurs are everywhere<\/li>
                      2. Entrepreneurship is management<\/li>
                      3. Validated learning<\/li>
                      4. Build-Measure-Learn<\/li>
                      5. Innovation accounting<\/li><\/ol>\n\n\n\n

                        What do these lean startup principles mean for corporations?<\/p>\n\n\n\n

                        1. Entrepreneurs are everywhere<\/strong><\/h2>\n\n\n\n

                        A modern company sees the creativity and talent of every employee as a precious resource. In order to leverage its entrepreneurs, a modern company needs to address all employees as entrepreneurs. Why? One, because we never know who the entrepreneurs are. Two, because most ideas are bad. If everyone can contribute ideas, companies have a greater chance of finding a good idea. But there needs to be a process as a company can\u2019t implement every idea, even with a lean startup strategy.<\/p>\n\n\n\n

                        2. Entrepreneurship is management<\/strong><\/h2>\n\n\n\n

                        Eric Ries defines a startup as \u201ca human institution designed to create new products and services under conditions of extreme uncertainty.\u201d A startup is an experiment. Any size company can perform experiments. The key is to have a strategy when meeting failure. That is to pivot. When a company pivots, they stay grounded in what they\u2019ve learned and change directions. Since time is money, the path to success is reducing the amount of time between pivots.<\/p>\n\n\n\n

                        3. Validated learning<\/strong><\/h2>\n\n\n\n

                        Companies should move from simply making stuff to validated learning. With validated learning the unit of measurement is not how far along the team is on adding features, but how far along the company is on learning who they\u2019re customers are and what their customers need. As William Edwards Deming, an American engineer, said, \u201cThe customer is the most important part of the production line.\u201d Teams must rigorously assess whether they are learning how to build a sustainable business. And a sustainable business is one that first understands the customer\u2019s needs.<\/p>\n\n\n\n

                        4. Build-Measure-Learn<\/strong><\/h2>\n\n\n\n

                        The question is not whether a product can be built but whether it should be built. Companies can build things very efficiently that nobody wants. The build-measure-learn cycle involves turning ideas into products quickly, measuring how customers respond, and then learning whether or not to pivot or persevere. A minimum viable product only needs to include features necessary to learn what customers want.<\/p>\n\n\n\n

                        5. Innovation accounting<\/strong><\/h2>\n\n\n\n

                        Entrepreneurs need to be held accountable, but to a different set of metrics. Instead of having product milestones, innovators should have learning milestones. A measurable metric for learning is customer behavior. Product development focuses on improvement in customer retention instead of product sales. With learning milestones, companies give themselves a timeframe to meet a customer behavior baseline and choose whether or not to pivot.<\/p>\n","post_title":"A Competitive Edge for Corporations: The Lean Startup Method and Innovation","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation","to_ping":"","pinged":"","post_modified":"2019-12-27 20:45:15","post_modified_gmt":"2019-12-28 04:45:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/blog\/a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation\/","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"prev":false,"total_page":1},"paged":1,"column_class":"jeg_col_2o3","class":"epic_block_5"};

                        Search

                        Latest

                        \n
                          \n
                        1. Zest AI: Fairness in Credit Scoring<\/a><\/li>\n<\/ol>\n\n\n\n

                          Zest AI, a machine learning platform that specializes in credit underwriting and risk assessment for financial institutions, has made important strides in the last quarter towards developing more fair and equitable credit scoring models. The company announced that it had created a new algorithm that significantly reduces the impact of race, gender, and other demographic factors on credit scores, making the process more inclusive and unbiased.<\/p>\n\n\n\n

                          In conclusion, the last quarter has been an exciting time for AI startups, as they continue to make impressive advancements in the field. From OpenAI's GPT-3 language model to Nuro's autonomous delivery vehicles, these startups are pushing the boundaries of what is possible with AI, and paving the way for new applications and innovations.<\/p>\n\n\n\n

                          As AI continues to play an increasingly important role in our lives and society, these startups will undoubtedly play a key role in shaping its future. By developing more accurate and efficient models, expanding their operations, and pushing for greater fairness and inclusivity, these startups are setting a high bar for the industry as a whole.<\/p>\n\n\n\n

                          Whether it's in healthcare, logistics, finance, or any other industry, the potential applications of AI are endless. And with the continued progress and innovation of these top startups, we can be confident that we are moving ever closer to a future where AI plays a central role in driving progress and improving our lives.<\/p>\n","post_title":"Huge AI Step in Last Quarter: Exciting Developments from Top AI Startups","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"huge-ai-step-in-last-quarter","to_ping":"","pinged":"","post_modified":"2023-05-11 13:08:34","post_modified_gmt":"2023-05-11 20:08:34","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/?p=9606","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":744,"post_author":"1","post_date":"2018-05-07 23:21:00","post_date_gmt":"2018-05-08 06:21:00","post_content":"\n

                          Corporations don\u2019t have five to ten years to waste developing a product that no one wants. Instead of building a plan and following it without question, companies should focus on implementing ideas quickly to determine whether they are good enough to spend more resources on. That\u2019s where the lean startup method comes in to jumpstart corporate innovation strategies.<\/p>\n\n\n\n

                          The lean startup method takes ideas around lean manufacturing and applies them to the process of innovation. Instead of using a business plan as a prediction of the future, a company turns the business plan into a series of hypotheses, such as what customers do or don\u2019t want, and then quickly performs experiments to test these hypotheses.<\/p>\n\n\n\n

                          In order to test hypotheses, companies create a minimum viable product. A minimum viable product is a scaled down version of an expansive vision of a product that can be delivered quickly and inexpensively. A minimum viable product allows companies to rapidly test ideas and determine whether or not they work in order to change directions without investing too many resources.<\/p>\n\n\n\n

                          Eric Ries, author of The Lean Startup<\/i>, presents five principles of the lean startup method.<\/p>\n\n\n\n

                          5 Principles of the Lean Startup Method:<\/p>\n\n\n\n

                          1. Entrepreneurs are everywhere<\/li>
                          2. Entrepreneurship is management<\/li>
                          3. Validated learning<\/li>
                          4. Build-Measure-Learn<\/li>
                          5. Innovation accounting<\/li><\/ol>\n\n\n\n

                            What do these lean startup principles mean for corporations?<\/p>\n\n\n\n

                            1. Entrepreneurs are everywhere<\/strong><\/h2>\n\n\n\n

                            A modern company sees the creativity and talent of every employee as a precious resource. In order to leverage its entrepreneurs, a modern company needs to address all employees as entrepreneurs. Why? One, because we never know who the entrepreneurs are. Two, because most ideas are bad. If everyone can contribute ideas, companies have a greater chance of finding a good idea. But there needs to be a process as a company can\u2019t implement every idea, even with a lean startup strategy.<\/p>\n\n\n\n

                            2. Entrepreneurship is management<\/strong><\/h2>\n\n\n\n

                            Eric Ries defines a startup as \u201ca human institution designed to create new products and services under conditions of extreme uncertainty.\u201d A startup is an experiment. Any size company can perform experiments. The key is to have a strategy when meeting failure. That is to pivot. When a company pivots, they stay grounded in what they\u2019ve learned and change directions. Since time is money, the path to success is reducing the amount of time between pivots.<\/p>\n\n\n\n

                            3. Validated learning<\/strong><\/h2>\n\n\n\n

                            Companies should move from simply making stuff to validated learning. With validated learning the unit of measurement is not how far along the team is on adding features, but how far along the company is on learning who they\u2019re customers are and what their customers need. As William Edwards Deming, an American engineer, said, \u201cThe customer is the most important part of the production line.\u201d Teams must rigorously assess whether they are learning how to build a sustainable business. And a sustainable business is one that first understands the customer\u2019s needs.<\/p>\n\n\n\n

                            4. Build-Measure-Learn<\/strong><\/h2>\n\n\n\n

                            The question is not whether a product can be built but whether it should be built. Companies can build things very efficiently that nobody wants. The build-measure-learn cycle involves turning ideas into products quickly, measuring how customers respond, and then learning whether or not to pivot or persevere. A minimum viable product only needs to include features necessary to learn what customers want.<\/p>\n\n\n\n

                            5. Innovation accounting<\/strong><\/h2>\n\n\n\n

                            Entrepreneurs need to be held accountable, but to a different set of metrics. Instead of having product milestones, innovators should have learning milestones. A measurable metric for learning is customer behavior. Product development focuses on improvement in customer retention instead of product sales. With learning milestones, companies give themselves a timeframe to meet a customer behavior baseline and choose whether or not to pivot.<\/p>\n","post_title":"A Competitive Edge for Corporations: The Lean Startup Method and Innovation","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation","to_ping":"","pinged":"","post_modified":"2019-12-27 20:45:15","post_modified_gmt":"2019-12-28 04:45:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/blog\/a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation\/","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"prev":false,"total_page":1},"paged":1,"column_class":"jeg_col_2o3","class":"epic_block_5"};

                            Search

                            Latest

                            \n

                            ChatGPT, an AI language model trained by OpenAI, has continued to make progress in the last quarter. The model has been used in a variety of applications, from chatbots to content creation, and has been praised for its ability to generate high-quality and natural-sounding language. In the last quarter, ChatGPT made significant advancements in its ability to understand and respond to complex questions and requests, bringing us one step closer to the development of truly intelligent conversational agents.<\/p>\n\n\n\n

                              \n
                            1. Zest AI: Fairness in Credit Scoring<\/a><\/li>\n<\/ol>\n\n\n\n

                              Zest AI, a machine learning platform that specializes in credit underwriting and risk assessment for financial institutions, has made important strides in the last quarter towards developing more fair and equitable credit scoring models. The company announced that it had created a new algorithm that significantly reduces the impact of race, gender, and other demographic factors on credit scores, making the process more inclusive and unbiased.<\/p>\n\n\n\n

                              In conclusion, the last quarter has been an exciting time for AI startups, as they continue to make impressive advancements in the field. From OpenAI's GPT-3 language model to Nuro's autonomous delivery vehicles, these startups are pushing the boundaries of what is possible with AI, and paving the way for new applications and innovations.<\/p>\n\n\n\n

                              As AI continues to play an increasingly important role in our lives and society, these startups will undoubtedly play a key role in shaping its future. By developing more accurate and efficient models, expanding their operations, and pushing for greater fairness and inclusivity, these startups are setting a high bar for the industry as a whole.<\/p>\n\n\n\n

                              Whether it's in healthcare, logistics, finance, or any other industry, the potential applications of AI are endless. And with the continued progress and innovation of these top startups, we can be confident that we are moving ever closer to a future where AI plays a central role in driving progress and improving our lives.<\/p>\n","post_title":"Huge AI Step in Last Quarter: Exciting Developments from Top AI Startups","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"huge-ai-step-in-last-quarter","to_ping":"","pinged":"","post_modified":"2023-05-11 13:08:34","post_modified_gmt":"2023-05-11 20:08:34","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/?p=9606","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":744,"post_author":"1","post_date":"2018-05-07 23:21:00","post_date_gmt":"2018-05-08 06:21:00","post_content":"\n

                              Corporations don\u2019t have five to ten years to waste developing a product that no one wants. Instead of building a plan and following it without question, companies should focus on implementing ideas quickly to determine whether they are good enough to spend more resources on. That\u2019s where the lean startup method comes in to jumpstart corporate innovation strategies.<\/p>\n\n\n\n

                              The lean startup method takes ideas around lean manufacturing and applies them to the process of innovation. Instead of using a business plan as a prediction of the future, a company turns the business plan into a series of hypotheses, such as what customers do or don\u2019t want, and then quickly performs experiments to test these hypotheses.<\/p>\n\n\n\n

                              In order to test hypotheses, companies create a minimum viable product. A minimum viable product is a scaled down version of an expansive vision of a product that can be delivered quickly and inexpensively. A minimum viable product allows companies to rapidly test ideas and determine whether or not they work in order to change directions without investing too many resources.<\/p>\n\n\n\n

                              Eric Ries, author of The Lean Startup<\/i>, presents five principles of the lean startup method.<\/p>\n\n\n\n

                              5 Principles of the Lean Startup Method:<\/p>\n\n\n\n

                              1. Entrepreneurs are everywhere<\/li>
                              2. Entrepreneurship is management<\/li>
                              3. Validated learning<\/li>
                              4. Build-Measure-Learn<\/li>
                              5. Innovation accounting<\/li><\/ol>\n\n\n\n

                                What do these lean startup principles mean for corporations?<\/p>\n\n\n\n

                                1. Entrepreneurs are everywhere<\/strong><\/h2>\n\n\n\n

                                A modern company sees the creativity and talent of every employee as a precious resource. In order to leverage its entrepreneurs, a modern company needs to address all employees as entrepreneurs. Why? One, because we never know who the entrepreneurs are. Two, because most ideas are bad. If everyone can contribute ideas, companies have a greater chance of finding a good idea. But there needs to be a process as a company can\u2019t implement every idea, even with a lean startup strategy.<\/p>\n\n\n\n

                                2. Entrepreneurship is management<\/strong><\/h2>\n\n\n\n

                                Eric Ries defines a startup as \u201ca human institution designed to create new products and services under conditions of extreme uncertainty.\u201d A startup is an experiment. Any size company can perform experiments. The key is to have a strategy when meeting failure. That is to pivot. When a company pivots, they stay grounded in what they\u2019ve learned and change directions. Since time is money, the path to success is reducing the amount of time between pivots.<\/p>\n\n\n\n

                                3. Validated learning<\/strong><\/h2>\n\n\n\n

                                Companies should move from simply making stuff to validated learning. With validated learning the unit of measurement is not how far along the team is on adding features, but how far along the company is on learning who they\u2019re customers are and what their customers need. As William Edwards Deming, an American engineer, said, \u201cThe customer is the most important part of the production line.\u201d Teams must rigorously assess whether they are learning how to build a sustainable business. And a sustainable business is one that first understands the customer\u2019s needs.<\/p>\n\n\n\n

                                4. Build-Measure-Learn<\/strong><\/h2>\n\n\n\n

                                The question is not whether a product can be built but whether it should be built. Companies can build things very efficiently that nobody wants. The build-measure-learn cycle involves turning ideas into products quickly, measuring how customers respond, and then learning whether or not to pivot or persevere. A minimum viable product only needs to include features necessary to learn what customers want.<\/p>\n\n\n\n

                                5. Innovation accounting<\/strong><\/h2>\n\n\n\n

                                Entrepreneurs need to be held accountable, but to a different set of metrics. Instead of having product milestones, innovators should have learning milestones. A measurable metric for learning is customer behavior. Product development focuses on improvement in customer retention instead of product sales. With learning milestones, companies give themselves a timeframe to meet a customer behavior baseline and choose whether or not to pivot.<\/p>\n","post_title":"A Competitive Edge for Corporations: The Lean Startup Method and Innovation","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation","to_ping":"","pinged":"","post_modified":"2019-12-27 20:45:15","post_modified_gmt":"2019-12-28 04:45:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/blog\/a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation\/","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"prev":false,"total_page":1},"paged":1,"column_class":"jeg_col_2o3","class":"epic_block_5"};

                                Search

                                Latest

                                \n
                              6. ChatGPT: Conversational AI Advancements<\/a><\/li>\n<\/ol>\n\n\n\n

                                ChatGPT, an AI language model trained by OpenAI, has continued to make progress in the last quarter. The model has been used in a variety of applications, from chatbots to content creation, and has been praised for its ability to generate high-quality and natural-sounding language. In the last quarter, ChatGPT made significant advancements in its ability to understand and respond to complex questions and requests, bringing us one step closer to the development of truly intelligent conversational agents.<\/p>\n\n\n\n

                                  \n
                                1. Zest AI: Fairness in Credit Scoring<\/a><\/li>\n<\/ol>\n\n\n\n

                                  Zest AI, a machine learning platform that specializes in credit underwriting and risk assessment for financial institutions, has made important strides in the last quarter towards developing more fair and equitable credit scoring models. The company announced that it had created a new algorithm that significantly reduces the impact of race, gender, and other demographic factors on credit scores, making the process more inclusive and unbiased.<\/p>\n\n\n\n

                                  In conclusion, the last quarter has been an exciting time for AI startups, as they continue to make impressive advancements in the field. From OpenAI's GPT-3 language model to Nuro's autonomous delivery vehicles, these startups are pushing the boundaries of what is possible with AI, and paving the way for new applications and innovations.<\/p>\n\n\n\n

                                  As AI continues to play an increasingly important role in our lives and society, these startups will undoubtedly play a key role in shaping its future. By developing more accurate and efficient models, expanding their operations, and pushing for greater fairness and inclusivity, these startups are setting a high bar for the industry as a whole.<\/p>\n\n\n\n

                                  Whether it's in healthcare, logistics, finance, or any other industry, the potential applications of AI are endless. And with the continued progress and innovation of these top startups, we can be confident that we are moving ever closer to a future where AI plays a central role in driving progress and improving our lives.<\/p>\n","post_title":"Huge AI Step in Last Quarter: Exciting Developments from Top AI Startups","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"huge-ai-step-in-last-quarter","to_ping":"","pinged":"","post_modified":"2023-05-11 13:08:34","post_modified_gmt":"2023-05-11 20:08:34","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/?p=9606","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":744,"post_author":"1","post_date":"2018-05-07 23:21:00","post_date_gmt":"2018-05-08 06:21:00","post_content":"\n

                                  Corporations don\u2019t have five to ten years to waste developing a product that no one wants. Instead of building a plan and following it without question, companies should focus on implementing ideas quickly to determine whether they are good enough to spend more resources on. That\u2019s where the lean startup method comes in to jumpstart corporate innovation strategies.<\/p>\n\n\n\n

                                  The lean startup method takes ideas around lean manufacturing and applies them to the process of innovation. Instead of using a business plan as a prediction of the future, a company turns the business plan into a series of hypotheses, such as what customers do or don\u2019t want, and then quickly performs experiments to test these hypotheses.<\/p>\n\n\n\n

                                  In order to test hypotheses, companies create a minimum viable product. A minimum viable product is a scaled down version of an expansive vision of a product that can be delivered quickly and inexpensively. A minimum viable product allows companies to rapidly test ideas and determine whether or not they work in order to change directions without investing too many resources.<\/p>\n\n\n\n

                                  Eric Ries, author of The Lean Startup<\/i>, presents five principles of the lean startup method.<\/p>\n\n\n\n

                                  5 Principles of the Lean Startup Method:<\/p>\n\n\n\n

                                  1. Entrepreneurs are everywhere<\/li>
                                  2. Entrepreneurship is management<\/li>
                                  3. Validated learning<\/li>
                                  4. Build-Measure-Learn<\/li>
                                  5. Innovation accounting<\/li><\/ol>\n\n\n\n

                                    What do these lean startup principles mean for corporations?<\/p>\n\n\n\n

                                    1. Entrepreneurs are everywhere<\/strong><\/h2>\n\n\n\n

                                    A modern company sees the creativity and talent of every employee as a precious resource. In order to leverage its entrepreneurs, a modern company needs to address all employees as entrepreneurs. Why? One, because we never know who the entrepreneurs are. Two, because most ideas are bad. If everyone can contribute ideas, companies have a greater chance of finding a good idea. But there needs to be a process as a company can\u2019t implement every idea, even with a lean startup strategy.<\/p>\n\n\n\n

                                    2. Entrepreneurship is management<\/strong><\/h2>\n\n\n\n

                                    Eric Ries defines a startup as \u201ca human institution designed to create new products and services under conditions of extreme uncertainty.\u201d A startup is an experiment. Any size company can perform experiments. The key is to have a strategy when meeting failure. That is to pivot. When a company pivots, they stay grounded in what they\u2019ve learned and change directions. Since time is money, the path to success is reducing the amount of time between pivots.<\/p>\n\n\n\n

                                    3. Validated learning<\/strong><\/h2>\n\n\n\n

                                    Companies should move from simply making stuff to validated learning. With validated learning the unit of measurement is not how far along the team is on adding features, but how far along the company is on learning who they\u2019re customers are and what their customers need. As William Edwards Deming, an American engineer, said, \u201cThe customer is the most important part of the production line.\u201d Teams must rigorously assess whether they are learning how to build a sustainable business. And a sustainable business is one that first understands the customer\u2019s needs.<\/p>\n\n\n\n

                                    4. Build-Measure-Learn<\/strong><\/h2>\n\n\n\n

                                    The question is not whether a product can be built but whether it should be built. Companies can build things very efficiently that nobody wants. The build-measure-learn cycle involves turning ideas into products quickly, measuring how customers respond, and then learning whether or not to pivot or persevere. A minimum viable product only needs to include features necessary to learn what customers want.<\/p>\n\n\n\n

                                    5. Innovation accounting<\/strong><\/h2>\n\n\n\n

                                    Entrepreneurs need to be held accountable, but to a different set of metrics. Instead of having product milestones, innovators should have learning milestones. A measurable metric for learning is customer behavior. Product development focuses on improvement in customer retention instead of product sales. With learning milestones, companies give themselves a timeframe to meet a customer behavior baseline and choose whether or not to pivot.<\/p>\n","post_title":"A Competitive Edge for Corporations: The Lean Startup Method and Innovation","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation","to_ping":"","pinged":"","post_modified":"2019-12-27 20:45:15","post_modified_gmt":"2019-12-28 04:45:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/blog\/a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation\/","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"prev":false,"total_page":1},"paged":1,"column_class":"jeg_col_2o3","class":"epic_block_5"};

                                    Search

                                    Latest

                                    \n
                                      \n
                                    1. ChatGPT: Conversational AI Advancements<\/a><\/li>\n<\/ol>\n\n\n\n

                                      ChatGPT, an AI language model trained by OpenAI, has continued to make progress in the last quarter. The model has been used in a variety of applications, from chatbots to content creation, and has been praised for its ability to generate high-quality and natural-sounding language. In the last quarter, ChatGPT made significant advancements in its ability to understand and respond to complex questions and requests, bringing us one step closer to the development of truly intelligent conversational agents.<\/p>\n\n\n\n

                                        \n
                                      1. Zest AI: Fairness in Credit Scoring<\/a><\/li>\n<\/ol>\n\n\n\n

                                        Zest AI, a machine learning platform that specializes in credit underwriting and risk assessment for financial institutions, has made important strides in the last quarter towards developing more fair and equitable credit scoring models. The company announced that it had created a new algorithm that significantly reduces the impact of race, gender, and other demographic factors on credit scores, making the process more inclusive and unbiased.<\/p>\n\n\n\n

                                        In conclusion, the last quarter has been an exciting time for AI startups, as they continue to make impressive advancements in the field. From OpenAI's GPT-3 language model to Nuro's autonomous delivery vehicles, these startups are pushing the boundaries of what is possible with AI, and paving the way for new applications and innovations.<\/p>\n\n\n\n

                                        As AI continues to play an increasingly important role in our lives and society, these startups will undoubtedly play a key role in shaping its future. By developing more accurate and efficient models, expanding their operations, and pushing for greater fairness and inclusivity, these startups are setting a high bar for the industry as a whole.<\/p>\n\n\n\n

                                        Whether it's in healthcare, logistics, finance, or any other industry, the potential applications of AI are endless. And with the continued progress and innovation of these top startups, we can be confident that we are moving ever closer to a future where AI plays a central role in driving progress and improving our lives.<\/p>\n","post_title":"Huge AI Step in Last Quarter: Exciting Developments from Top AI Startups","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"huge-ai-step-in-last-quarter","to_ping":"","pinged":"","post_modified":"2023-05-11 13:08:34","post_modified_gmt":"2023-05-11 20:08:34","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/?p=9606","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":744,"post_author":"1","post_date":"2018-05-07 23:21:00","post_date_gmt":"2018-05-08 06:21:00","post_content":"\n

                                        Corporations don\u2019t have five to ten years to waste developing a product that no one wants. Instead of building a plan and following it without question, companies should focus on implementing ideas quickly to determine whether they are good enough to spend more resources on. That\u2019s where the lean startup method comes in to jumpstart corporate innovation strategies.<\/p>\n\n\n\n

                                        The lean startup method takes ideas around lean manufacturing and applies them to the process of innovation. Instead of using a business plan as a prediction of the future, a company turns the business plan into a series of hypotheses, such as what customers do or don\u2019t want, and then quickly performs experiments to test these hypotheses.<\/p>\n\n\n\n

                                        In order to test hypotheses, companies create a minimum viable product. A minimum viable product is a scaled down version of an expansive vision of a product that can be delivered quickly and inexpensively. A minimum viable product allows companies to rapidly test ideas and determine whether or not they work in order to change directions without investing too many resources.<\/p>\n\n\n\n

                                        Eric Ries, author of The Lean Startup<\/i>, presents five principles of the lean startup method.<\/p>\n\n\n\n

                                        5 Principles of the Lean Startup Method:<\/p>\n\n\n\n

                                        1. Entrepreneurs are everywhere<\/li>
                                        2. Entrepreneurship is management<\/li>
                                        3. Validated learning<\/li>
                                        4. Build-Measure-Learn<\/li>
                                        5. Innovation accounting<\/li><\/ol>\n\n\n\n

                                          What do these lean startup principles mean for corporations?<\/p>\n\n\n\n

                                          1. Entrepreneurs are everywhere<\/strong><\/h2>\n\n\n\n

                                          A modern company sees the creativity and talent of every employee as a precious resource. In order to leverage its entrepreneurs, a modern company needs to address all employees as entrepreneurs. Why? One, because we never know who the entrepreneurs are. Two, because most ideas are bad. If everyone can contribute ideas, companies have a greater chance of finding a good idea. But there needs to be a process as a company can\u2019t implement every idea, even with a lean startup strategy.<\/p>\n\n\n\n

                                          2. Entrepreneurship is management<\/strong><\/h2>\n\n\n\n

                                          Eric Ries defines a startup as \u201ca human institution designed to create new products and services under conditions of extreme uncertainty.\u201d A startup is an experiment. Any size company can perform experiments. The key is to have a strategy when meeting failure. That is to pivot. When a company pivots, they stay grounded in what they\u2019ve learned and change directions. Since time is money, the path to success is reducing the amount of time between pivots.<\/p>\n\n\n\n

                                          3. Validated learning<\/strong><\/h2>\n\n\n\n

                                          Companies should move from simply making stuff to validated learning. With validated learning the unit of measurement is not how far along the team is on adding features, but how far along the company is on learning who they\u2019re customers are and what their customers need. As William Edwards Deming, an American engineer, said, \u201cThe customer is the most important part of the production line.\u201d Teams must rigorously assess whether they are learning how to build a sustainable business. And a sustainable business is one that first understands the customer\u2019s needs.<\/p>\n\n\n\n

                                          4. Build-Measure-Learn<\/strong><\/h2>\n\n\n\n

                                          The question is not whether a product can be built but whether it should be built. Companies can build things very efficiently that nobody wants. The build-measure-learn cycle involves turning ideas into products quickly, measuring how customers respond, and then learning whether or not to pivot or persevere. A minimum viable product only needs to include features necessary to learn what customers want.<\/p>\n\n\n\n

                                          5. Innovation accounting<\/strong><\/h2>\n\n\n\n

                                          Entrepreneurs need to be held accountable, but to a different set of metrics. Instead of having product milestones, innovators should have learning milestones. A measurable metric for learning is customer behavior. Product development focuses on improvement in customer retention instead of product sales. With learning milestones, companies give themselves a timeframe to meet a customer behavior baseline and choose whether or not to pivot.<\/p>\n","post_title":"A Competitive Edge for Corporations: The Lean Startup Method and Innovation","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation","to_ping":"","pinged":"","post_modified":"2019-12-27 20:45:15","post_modified_gmt":"2019-12-28 04:45:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/blog\/a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation\/","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"prev":false,"total_page":1},"paged":1,"column_class":"jeg_col_2o3","class":"epic_block_5"};

                                          Search

                                          Latest

                                          \n

                                          Freenome, a healthcare startup that uses AI to develop non-invasive cancer screening tests, has made significant strides in the last quarter. The company announced that it had made major advancements in its ability to detect early-stage cancers using a simple blood test. This development has the potential to transform cancer screening and could help to save countless lives in the future.<\/p>\n\n\n\n

                                            \n
                                          1. ChatGPT: Conversational AI Advancements<\/a><\/li>\n<\/ol>\n\n\n\n

                                            ChatGPT, an AI language model trained by OpenAI, has continued to make progress in the last quarter. The model has been used in a variety of applications, from chatbots to content creation, and has been praised for its ability to generate high-quality and natural-sounding language. In the last quarter, ChatGPT made significant advancements in its ability to understand and respond to complex questions and requests, bringing us one step closer to the development of truly intelligent conversational agents.<\/p>\n\n\n\n

                                              \n
                                            1. Zest AI: Fairness in Credit Scoring<\/a><\/li>\n<\/ol>\n\n\n\n

                                              Zest AI, a machine learning platform that specializes in credit underwriting and risk assessment for financial institutions, has made important strides in the last quarter towards developing more fair and equitable credit scoring models. The company announced that it had created a new algorithm that significantly reduces the impact of race, gender, and other demographic factors on credit scores, making the process more inclusive and unbiased.<\/p>\n\n\n\n

                                              In conclusion, the last quarter has been an exciting time for AI startups, as they continue to make impressive advancements in the field. From OpenAI's GPT-3 language model to Nuro's autonomous delivery vehicles, these startups are pushing the boundaries of what is possible with AI, and paving the way for new applications and innovations.<\/p>\n\n\n\n

                                              As AI continues to play an increasingly important role in our lives and society, these startups will undoubtedly play a key role in shaping its future. By developing more accurate and efficient models, expanding their operations, and pushing for greater fairness and inclusivity, these startups are setting a high bar for the industry as a whole.<\/p>\n\n\n\n

                                              Whether it's in healthcare, logistics, finance, or any other industry, the potential applications of AI are endless. And with the continued progress and innovation of these top startups, we can be confident that we are moving ever closer to a future where AI plays a central role in driving progress and improving our lives.<\/p>\n","post_title":"Huge AI Step in Last Quarter: Exciting Developments from Top AI Startups","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"huge-ai-step-in-last-quarter","to_ping":"","pinged":"","post_modified":"2023-05-11 13:08:34","post_modified_gmt":"2023-05-11 20:08:34","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/?p=9606","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":744,"post_author":"1","post_date":"2018-05-07 23:21:00","post_date_gmt":"2018-05-08 06:21:00","post_content":"\n

                                              Corporations don\u2019t have five to ten years to waste developing a product that no one wants. Instead of building a plan and following it without question, companies should focus on implementing ideas quickly to determine whether they are good enough to spend more resources on. That\u2019s where the lean startup method comes in to jumpstart corporate innovation strategies.<\/p>\n\n\n\n

                                              The lean startup method takes ideas around lean manufacturing and applies them to the process of innovation. Instead of using a business plan as a prediction of the future, a company turns the business plan into a series of hypotheses, such as what customers do or don\u2019t want, and then quickly performs experiments to test these hypotheses.<\/p>\n\n\n\n

                                              In order to test hypotheses, companies create a minimum viable product. A minimum viable product is a scaled down version of an expansive vision of a product that can be delivered quickly and inexpensively. A minimum viable product allows companies to rapidly test ideas and determine whether or not they work in order to change directions without investing too many resources.<\/p>\n\n\n\n

                                              Eric Ries, author of The Lean Startup<\/i>, presents five principles of the lean startup method.<\/p>\n\n\n\n

                                              5 Principles of the Lean Startup Method:<\/p>\n\n\n\n

                                              1. Entrepreneurs are everywhere<\/li>
                                              2. Entrepreneurship is management<\/li>
                                              3. Validated learning<\/li>
                                              4. Build-Measure-Learn<\/li>
                                              5. Innovation accounting<\/li><\/ol>\n\n\n\n

                                                What do these lean startup principles mean for corporations?<\/p>\n\n\n\n

                                                1. Entrepreneurs are everywhere<\/strong><\/h2>\n\n\n\n

                                                A modern company sees the creativity and talent of every employee as a precious resource. In order to leverage its entrepreneurs, a modern company needs to address all employees as entrepreneurs. Why? One, because we never know who the entrepreneurs are. Two, because most ideas are bad. If everyone can contribute ideas, companies have a greater chance of finding a good idea. But there needs to be a process as a company can\u2019t implement every idea, even with a lean startup strategy.<\/p>\n\n\n\n

                                                2. Entrepreneurship is management<\/strong><\/h2>\n\n\n\n

                                                Eric Ries defines a startup as \u201ca human institution designed to create new products and services under conditions of extreme uncertainty.\u201d A startup is an experiment. Any size company can perform experiments. The key is to have a strategy when meeting failure. That is to pivot. When a company pivots, they stay grounded in what they\u2019ve learned and change directions. Since time is money, the path to success is reducing the amount of time between pivots.<\/p>\n\n\n\n

                                                3. Validated learning<\/strong><\/h2>\n\n\n\n

                                                Companies should move from simply making stuff to validated learning. With validated learning the unit of measurement is not how far along the team is on adding features, but how far along the company is on learning who they\u2019re customers are and what their customers need. As William Edwards Deming, an American engineer, said, \u201cThe customer is the most important part of the production line.\u201d Teams must rigorously assess whether they are learning how to build a sustainable business. And a sustainable business is one that first understands the customer\u2019s needs.<\/p>\n\n\n\n

                                                4. Build-Measure-Learn<\/strong><\/h2>\n\n\n\n

                                                The question is not whether a product can be built but whether it should be built. Companies can build things very efficiently that nobody wants. The build-measure-learn cycle involves turning ideas into products quickly, measuring how customers respond, and then learning whether or not to pivot or persevere. A minimum viable product only needs to include features necessary to learn what customers want.<\/p>\n\n\n\n

                                                5. Innovation accounting<\/strong><\/h2>\n\n\n\n

                                                Entrepreneurs need to be held accountable, but to a different set of metrics. Instead of having product milestones, innovators should have learning milestones. A measurable metric for learning is customer behavior. Product development focuses on improvement in customer retention instead of product sales. With learning milestones, companies give themselves a timeframe to meet a customer behavior baseline and choose whether or not to pivot.<\/p>\n","post_title":"A Competitive Edge for Corporations: The Lean Startup Method and Innovation","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation","to_ping":"","pinged":"","post_modified":"2019-12-27 20:45:15","post_modified_gmt":"2019-12-28 04:45:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/blog\/a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation\/","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"prev":false,"total_page":1},"paged":1,"column_class":"jeg_col_2o3","class":"epic_block_5"};

                                                Search

                                                Latest

                                                \n
                                              6. Freenome: Cancer Screening Breakthroughs<\/a><\/li>\n<\/ol>\n\n\n\n

                                                Freenome, a healthcare startup that uses AI to develop non-invasive cancer screening tests, has made significant strides in the last quarter. The company announced that it had made major advancements in its ability to detect early-stage cancers using a simple blood test. This development has the potential to transform cancer screening and could help to save countless lives in the future.<\/p>\n\n\n\n

                                                  \n
                                                1. ChatGPT: Conversational AI Advancements<\/a><\/li>\n<\/ol>\n\n\n\n

                                                  ChatGPT, an AI language model trained by OpenAI, has continued to make progress in the last quarter. The model has been used in a variety of applications, from chatbots to content creation, and has been praised for its ability to generate high-quality and natural-sounding language. In the last quarter, ChatGPT made significant advancements in its ability to understand and respond to complex questions and requests, bringing us one step closer to the development of truly intelligent conversational agents.<\/p>\n\n\n\n

                                                    \n
                                                  1. Zest AI: Fairness in Credit Scoring<\/a><\/li>\n<\/ol>\n\n\n\n

                                                    Zest AI, a machine learning platform that specializes in credit underwriting and risk assessment for financial institutions, has made important strides in the last quarter towards developing more fair and equitable credit scoring models. The company announced that it had created a new algorithm that significantly reduces the impact of race, gender, and other demographic factors on credit scores, making the process more inclusive and unbiased.<\/p>\n\n\n\n

                                                    In conclusion, the last quarter has been an exciting time for AI startups, as they continue to make impressive advancements in the field. From OpenAI's GPT-3 language model to Nuro's autonomous delivery vehicles, these startups are pushing the boundaries of what is possible with AI, and paving the way for new applications and innovations.<\/p>\n\n\n\n

                                                    As AI continues to play an increasingly important role in our lives and society, these startups will undoubtedly play a key role in shaping its future. By developing more accurate and efficient models, expanding their operations, and pushing for greater fairness and inclusivity, these startups are setting a high bar for the industry as a whole.<\/p>\n\n\n\n

                                                    Whether it's in healthcare, logistics, finance, or any other industry, the potential applications of AI are endless. And with the continued progress and innovation of these top startups, we can be confident that we are moving ever closer to a future where AI plays a central role in driving progress and improving our lives.<\/p>\n","post_title":"Huge AI Step in Last Quarter: Exciting Developments from Top AI Startups","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"huge-ai-step-in-last-quarter","to_ping":"","pinged":"","post_modified":"2023-05-11 13:08:34","post_modified_gmt":"2023-05-11 20:08:34","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/?p=9606","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":744,"post_author":"1","post_date":"2018-05-07 23:21:00","post_date_gmt":"2018-05-08 06:21:00","post_content":"\n

                                                    Corporations don\u2019t have five to ten years to waste developing a product that no one wants. Instead of building a plan and following it without question, companies should focus on implementing ideas quickly to determine whether they are good enough to spend more resources on. That\u2019s where the lean startup method comes in to jumpstart corporate innovation strategies.<\/p>\n\n\n\n

                                                    The lean startup method takes ideas around lean manufacturing and applies them to the process of innovation. Instead of using a business plan as a prediction of the future, a company turns the business plan into a series of hypotheses, such as what customers do or don\u2019t want, and then quickly performs experiments to test these hypotheses.<\/p>\n\n\n\n

                                                    In order to test hypotheses, companies create a minimum viable product. A minimum viable product is a scaled down version of an expansive vision of a product that can be delivered quickly and inexpensively. A minimum viable product allows companies to rapidly test ideas and determine whether or not they work in order to change directions without investing too many resources.<\/p>\n\n\n\n

                                                    Eric Ries, author of The Lean Startup<\/i>, presents five principles of the lean startup method.<\/p>\n\n\n\n

                                                    5 Principles of the Lean Startup Method:<\/p>\n\n\n\n

                                                    1. Entrepreneurs are everywhere<\/li>
                                                    2. Entrepreneurship is management<\/li>
                                                    3. Validated learning<\/li>
                                                    4. Build-Measure-Learn<\/li>
                                                    5. Innovation accounting<\/li><\/ol>\n\n\n\n

                                                      What do these lean startup principles mean for corporations?<\/p>\n\n\n\n

                                                      1. Entrepreneurs are everywhere<\/strong><\/h2>\n\n\n\n

                                                      A modern company sees the creativity and talent of every employee as a precious resource. In order to leverage its entrepreneurs, a modern company needs to address all employees as entrepreneurs. Why? One, because we never know who the entrepreneurs are. Two, because most ideas are bad. If everyone can contribute ideas, companies have a greater chance of finding a good idea. But there needs to be a process as a company can\u2019t implement every idea, even with a lean startup strategy.<\/p>\n\n\n\n

                                                      2. Entrepreneurship is management<\/strong><\/h2>\n\n\n\n

                                                      Eric Ries defines a startup as \u201ca human institution designed to create new products and services under conditions of extreme uncertainty.\u201d A startup is an experiment. Any size company can perform experiments. The key is to have a strategy when meeting failure. That is to pivot. When a company pivots, they stay grounded in what they\u2019ve learned and change directions. Since time is money, the path to success is reducing the amount of time between pivots.<\/p>\n\n\n\n

                                                      3. Validated learning<\/strong><\/h2>\n\n\n\n

                                                      Companies should move from simply making stuff to validated learning. With validated learning the unit of measurement is not how far along the team is on adding features, but how far along the company is on learning who they\u2019re customers are and what their customers need. As William Edwards Deming, an American engineer, said, \u201cThe customer is the most important part of the production line.\u201d Teams must rigorously assess whether they are learning how to build a sustainable business. And a sustainable business is one that first understands the customer\u2019s needs.<\/p>\n\n\n\n

                                                      4. Build-Measure-Learn<\/strong><\/h2>\n\n\n\n

                                                      The question is not whether a product can be built but whether it should be built. Companies can build things very efficiently that nobody wants. The build-measure-learn cycle involves turning ideas into products quickly, measuring how customers respond, and then learning whether or not to pivot or persevere. A minimum viable product only needs to include features necessary to learn what customers want.<\/p>\n\n\n\n

                                                      5. Innovation accounting<\/strong><\/h2>\n\n\n\n

                                                      Entrepreneurs need to be held accountable, but to a different set of metrics. Instead of having product milestones, innovators should have learning milestones. A measurable metric for learning is customer behavior. Product development focuses on improvement in customer retention instead of product sales. With learning milestones, companies give themselves a timeframe to meet a customer behavior baseline and choose whether or not to pivot.<\/p>\n","post_title":"A Competitive Edge for Corporations: The Lean Startup Method and Innovation","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation","to_ping":"","pinged":"","post_modified":"2019-12-27 20:45:15","post_modified_gmt":"2019-12-28 04:45:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/blog\/a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation\/","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"prev":false,"total_page":1},"paged":1,"column_class":"jeg_col_2o3","class":"epic_block_5"};

                                                      Search

                                                      Latest

                                                      \n
                                                        \n
                                                      1. Freenome: Cancer Screening Breakthroughs<\/a><\/li>\n<\/ol>\n\n\n\n

                                                        Freenome, a healthcare startup that uses AI to develop non-invasive cancer screening tests, has made significant strides in the last quarter. The company announced that it had made major advancements in its ability to detect early-stage cancers using a simple blood test. This development has the potential to transform cancer screening and could help to save countless lives in the future.<\/p>\n\n\n\n

                                                          \n
                                                        1. ChatGPT: Conversational AI Advancements<\/a><\/li>\n<\/ol>\n\n\n\n

                                                          ChatGPT, an AI language model trained by OpenAI, has continued to make progress in the last quarter. The model has been used in a variety of applications, from chatbots to content creation, and has been praised for its ability to generate high-quality and natural-sounding language. In the last quarter, ChatGPT made significant advancements in its ability to understand and respond to complex questions and requests, bringing us one step closer to the development of truly intelligent conversational agents.<\/p>\n\n\n\n

                                                            \n
                                                          1. Zest AI: Fairness in Credit Scoring<\/a><\/li>\n<\/ol>\n\n\n\n

                                                            Zest AI, a machine learning platform that specializes in credit underwriting and risk assessment for financial institutions, has made important strides in the last quarter towards developing more fair and equitable credit scoring models. The company announced that it had created a new algorithm that significantly reduces the impact of race, gender, and other demographic factors on credit scores, making the process more inclusive and unbiased.<\/p>\n\n\n\n

                                                            In conclusion, the last quarter has been an exciting time for AI startups, as they continue to make impressive advancements in the field. From OpenAI's GPT-3 language model to Nuro's autonomous delivery vehicles, these startups are pushing the boundaries of what is possible with AI, and paving the way for new applications and innovations.<\/p>\n\n\n\n

                                                            As AI continues to play an increasingly important role in our lives and society, these startups will undoubtedly play a key role in shaping its future. By developing more accurate and efficient models, expanding their operations, and pushing for greater fairness and inclusivity, these startups are setting a high bar for the industry as a whole.<\/p>\n\n\n\n

                                                            Whether it's in healthcare, logistics, finance, or any other industry, the potential applications of AI are endless. And with the continued progress and innovation of these top startups, we can be confident that we are moving ever closer to a future where AI plays a central role in driving progress and improving our lives.<\/p>\n","post_title":"Huge AI Step in Last Quarter: Exciting Developments from Top AI Startups","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"huge-ai-step-in-last-quarter","to_ping":"","pinged":"","post_modified":"2023-05-11 13:08:34","post_modified_gmt":"2023-05-11 20:08:34","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/?p=9606","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":744,"post_author":"1","post_date":"2018-05-07 23:21:00","post_date_gmt":"2018-05-08 06:21:00","post_content":"\n

                                                            Corporations don\u2019t have five to ten years to waste developing a product that no one wants. Instead of building a plan and following it without question, companies should focus on implementing ideas quickly to determine whether they are good enough to spend more resources on. That\u2019s where the lean startup method comes in to jumpstart corporate innovation strategies.<\/p>\n\n\n\n

                                                            The lean startup method takes ideas around lean manufacturing and applies them to the process of innovation. Instead of using a business plan as a prediction of the future, a company turns the business plan into a series of hypotheses, such as what customers do or don\u2019t want, and then quickly performs experiments to test these hypotheses.<\/p>\n\n\n\n

                                                            In order to test hypotheses, companies create a minimum viable product. A minimum viable product is a scaled down version of an expansive vision of a product that can be delivered quickly and inexpensively. A minimum viable product allows companies to rapidly test ideas and determine whether or not they work in order to change directions without investing too many resources.<\/p>\n\n\n\n

                                                            Eric Ries, author of The Lean Startup<\/i>, presents five principles of the lean startup method.<\/p>\n\n\n\n

                                                            5 Principles of the Lean Startup Method:<\/p>\n\n\n\n

                                                            1. Entrepreneurs are everywhere<\/li>
                                                            2. Entrepreneurship is management<\/li>
                                                            3. Validated learning<\/li>
                                                            4. Build-Measure-Learn<\/li>
                                                            5. Innovation accounting<\/li><\/ol>\n\n\n\n

                                                              What do these lean startup principles mean for corporations?<\/p>\n\n\n\n

                                                              1. Entrepreneurs are everywhere<\/strong><\/h2>\n\n\n\n

                                                              A modern company sees the creativity and talent of every employee as a precious resource. In order to leverage its entrepreneurs, a modern company needs to address all employees as entrepreneurs. Why? One, because we never know who the entrepreneurs are. Two, because most ideas are bad. If everyone can contribute ideas, companies have a greater chance of finding a good idea. But there needs to be a process as a company can\u2019t implement every idea, even with a lean startup strategy.<\/p>\n\n\n\n

                                                              2. Entrepreneurship is management<\/strong><\/h2>\n\n\n\n

                                                              Eric Ries defines a startup as \u201ca human institution designed to create new products and services under conditions of extreme uncertainty.\u201d A startup is an experiment. Any size company can perform experiments. The key is to have a strategy when meeting failure. That is to pivot. When a company pivots, they stay grounded in what they\u2019ve learned and change directions. Since time is money, the path to success is reducing the amount of time between pivots.<\/p>\n\n\n\n

                                                              3. Validated learning<\/strong><\/h2>\n\n\n\n

                                                              Companies should move from simply making stuff to validated learning. With validated learning the unit of measurement is not how far along the team is on adding features, but how far along the company is on learning who they\u2019re customers are and what their customers need. As William Edwards Deming, an American engineer, said, \u201cThe customer is the most important part of the production line.\u201d Teams must rigorously assess whether they are learning how to build a sustainable business. And a sustainable business is one that first understands the customer\u2019s needs.<\/p>\n\n\n\n

                                                              4. Build-Measure-Learn<\/strong><\/h2>\n\n\n\n

                                                              The question is not whether a product can be built but whether it should be built. Companies can build things very efficiently that nobody wants. The build-measure-learn cycle involves turning ideas into products quickly, measuring how customers respond, and then learning whether or not to pivot or persevere. A minimum viable product only needs to include features necessary to learn what customers want.<\/p>\n\n\n\n

                                                              5. Innovation accounting<\/strong><\/h2>\n\n\n\n

                                                              Entrepreneurs need to be held accountable, but to a different set of metrics. Instead of having product milestones, innovators should have learning milestones. A measurable metric for learning is customer behavior. Product development focuses on improvement in customer retention instead of product sales. With learning milestones, companies give themselves a timeframe to meet a customer behavior baseline and choose whether or not to pivot.<\/p>\n","post_title":"A Competitive Edge for Corporations: The Lean Startup Method and Innovation","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation","to_ping":"","pinged":"","post_modified":"2019-12-27 20:45:15","post_modified_gmt":"2019-12-28 04:45:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/blog\/a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation\/","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"prev":false,"total_page":1},"paged":1,"column_class":"jeg_col_2o3","class":"epic_block_5"};

                                                              Search

                                                              Latest

                                                              \n

                                                              Nuro, a robotics company that specializes in autonomous delivery vehicles, has continued to expand its operations in the last quarter. The startup has partnered with a number of major retailers and grocery stores to provide autonomous delivery services in various cities across the United States. Nuro's technology has the potential to revolutionize the logistics industry and could help to reduce transportation-related emissions in the future.<\/p>\n\n\n\n

                                                                \n
                                                              1. Freenome: Cancer Screening Breakthroughs<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                Freenome, a healthcare startup that uses AI to develop non-invasive cancer screening tests, has made significant strides in the last quarter. The company announced that it had made major advancements in its ability to detect early-stage cancers using a simple blood test. This development has the potential to transform cancer screening and could help to save countless lives in the future.<\/p>\n\n\n\n

                                                                  \n
                                                                1. ChatGPT: Conversational AI Advancements<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                  ChatGPT, an AI language model trained by OpenAI, has continued to make progress in the last quarter. The model has been used in a variety of applications, from chatbots to content creation, and has been praised for its ability to generate high-quality and natural-sounding language. In the last quarter, ChatGPT made significant advancements in its ability to understand and respond to complex questions and requests, bringing us one step closer to the development of truly intelligent conversational agents.<\/p>\n\n\n\n

                                                                    \n
                                                                  1. Zest AI: Fairness in Credit Scoring<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                    Zest AI, a machine learning platform that specializes in credit underwriting and risk assessment for financial institutions, has made important strides in the last quarter towards developing more fair and equitable credit scoring models. The company announced that it had created a new algorithm that significantly reduces the impact of race, gender, and other demographic factors on credit scores, making the process more inclusive and unbiased.<\/p>\n\n\n\n

                                                                    In conclusion, the last quarter has been an exciting time for AI startups, as they continue to make impressive advancements in the field. From OpenAI's GPT-3 language model to Nuro's autonomous delivery vehicles, these startups are pushing the boundaries of what is possible with AI, and paving the way for new applications and innovations.<\/p>\n\n\n\n

                                                                    As AI continues to play an increasingly important role in our lives and society, these startups will undoubtedly play a key role in shaping its future. By developing more accurate and efficient models, expanding their operations, and pushing for greater fairness and inclusivity, these startups are setting a high bar for the industry as a whole.<\/p>\n\n\n\n

                                                                    Whether it's in healthcare, logistics, finance, or any other industry, the potential applications of AI are endless. And with the continued progress and innovation of these top startups, we can be confident that we are moving ever closer to a future where AI plays a central role in driving progress and improving our lives.<\/p>\n","post_title":"Huge AI Step in Last Quarter: Exciting Developments from Top AI Startups","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"huge-ai-step-in-last-quarter","to_ping":"","pinged":"","post_modified":"2023-05-11 13:08:34","post_modified_gmt":"2023-05-11 20:08:34","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/?p=9606","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":744,"post_author":"1","post_date":"2018-05-07 23:21:00","post_date_gmt":"2018-05-08 06:21:00","post_content":"\n

                                                                    Corporations don\u2019t have five to ten years to waste developing a product that no one wants. Instead of building a plan and following it without question, companies should focus on implementing ideas quickly to determine whether they are good enough to spend more resources on. That\u2019s where the lean startup method comes in to jumpstart corporate innovation strategies.<\/p>\n\n\n\n

                                                                    The lean startup method takes ideas around lean manufacturing and applies them to the process of innovation. Instead of using a business plan as a prediction of the future, a company turns the business plan into a series of hypotheses, such as what customers do or don\u2019t want, and then quickly performs experiments to test these hypotheses.<\/p>\n\n\n\n

                                                                    In order to test hypotheses, companies create a minimum viable product. A minimum viable product is a scaled down version of an expansive vision of a product that can be delivered quickly and inexpensively. A minimum viable product allows companies to rapidly test ideas and determine whether or not they work in order to change directions without investing too many resources.<\/p>\n\n\n\n

                                                                    Eric Ries, author of The Lean Startup<\/i>, presents five principles of the lean startup method.<\/p>\n\n\n\n

                                                                    5 Principles of the Lean Startup Method:<\/p>\n\n\n\n

                                                                    1. Entrepreneurs are everywhere<\/li>
                                                                    2. Entrepreneurship is management<\/li>
                                                                    3. Validated learning<\/li>
                                                                    4. Build-Measure-Learn<\/li>
                                                                    5. Innovation accounting<\/li><\/ol>\n\n\n\n

                                                                      What do these lean startup principles mean for corporations?<\/p>\n\n\n\n

                                                                      1. Entrepreneurs are everywhere<\/strong><\/h2>\n\n\n\n

                                                                      A modern company sees the creativity and talent of every employee as a precious resource. In order to leverage its entrepreneurs, a modern company needs to address all employees as entrepreneurs. Why? One, because we never know who the entrepreneurs are. Two, because most ideas are bad. If everyone can contribute ideas, companies have a greater chance of finding a good idea. But there needs to be a process as a company can\u2019t implement every idea, even with a lean startup strategy.<\/p>\n\n\n\n

                                                                      2. Entrepreneurship is management<\/strong><\/h2>\n\n\n\n

                                                                      Eric Ries defines a startup as \u201ca human institution designed to create new products and services under conditions of extreme uncertainty.\u201d A startup is an experiment. Any size company can perform experiments. The key is to have a strategy when meeting failure. That is to pivot. When a company pivots, they stay grounded in what they\u2019ve learned and change directions. Since time is money, the path to success is reducing the amount of time between pivots.<\/p>\n\n\n\n

                                                                      3. Validated learning<\/strong><\/h2>\n\n\n\n

                                                                      Companies should move from simply making stuff to validated learning. With validated learning the unit of measurement is not how far along the team is on adding features, but how far along the company is on learning who they\u2019re customers are and what their customers need. As William Edwards Deming, an American engineer, said, \u201cThe customer is the most important part of the production line.\u201d Teams must rigorously assess whether they are learning how to build a sustainable business. And a sustainable business is one that first understands the customer\u2019s needs.<\/p>\n\n\n\n

                                                                      4. Build-Measure-Learn<\/strong><\/h2>\n\n\n\n

                                                                      The question is not whether a product can be built but whether it should be built. Companies can build things very efficiently that nobody wants. The build-measure-learn cycle involves turning ideas into products quickly, measuring how customers respond, and then learning whether or not to pivot or persevere. A minimum viable product only needs to include features necessary to learn what customers want.<\/p>\n\n\n\n

                                                                      5. Innovation accounting<\/strong><\/h2>\n\n\n\n

                                                                      Entrepreneurs need to be held accountable, but to a different set of metrics. Instead of having product milestones, innovators should have learning milestones. A measurable metric for learning is customer behavior. Product development focuses on improvement in customer retention instead of product sales. With learning milestones, companies give themselves a timeframe to meet a customer behavior baseline and choose whether or not to pivot.<\/p>\n","post_title":"A Competitive Edge for Corporations: The Lean Startup Method and Innovation","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation","to_ping":"","pinged":"","post_modified":"2019-12-27 20:45:15","post_modified_gmt":"2019-12-28 04:45:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/blog\/a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation\/","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"prev":false,"total_page":1},"paged":1,"column_class":"jeg_col_2o3","class":"epic_block_5"};

                                                                      Search

                                                                      Latest

                                                                      \n
                                                                    6. Nuro: Autonomous Delivery Vehicles<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                      Nuro, a robotics company that specializes in autonomous delivery vehicles, has continued to expand its operations in the last quarter. The startup has partnered with a number of major retailers and grocery stores to provide autonomous delivery services in various cities across the United States. Nuro's technology has the potential to revolutionize the logistics industry and could help to reduce transportation-related emissions in the future.<\/p>\n\n\n\n

                                                                        \n
                                                                      1. Freenome: Cancer Screening Breakthroughs<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                        Freenome, a healthcare startup that uses AI to develop non-invasive cancer screening tests, has made significant strides in the last quarter. The company announced that it had made major advancements in its ability to detect early-stage cancers using a simple blood test. This development has the potential to transform cancer screening and could help to save countless lives in the future.<\/p>\n\n\n\n

                                                                          \n
                                                                        1. ChatGPT: Conversational AI Advancements<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                          ChatGPT, an AI language model trained by OpenAI, has continued to make progress in the last quarter. The model has been used in a variety of applications, from chatbots to content creation, and has been praised for its ability to generate high-quality and natural-sounding language. In the last quarter, ChatGPT made significant advancements in its ability to understand and respond to complex questions and requests, bringing us one step closer to the development of truly intelligent conversational agents.<\/p>\n\n\n\n

                                                                            \n
                                                                          1. Zest AI: Fairness in Credit Scoring<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                            Zest AI, a machine learning platform that specializes in credit underwriting and risk assessment for financial institutions, has made important strides in the last quarter towards developing more fair and equitable credit scoring models. The company announced that it had created a new algorithm that significantly reduces the impact of race, gender, and other demographic factors on credit scores, making the process more inclusive and unbiased.<\/p>\n\n\n\n

                                                                            In conclusion, the last quarter has been an exciting time for AI startups, as they continue to make impressive advancements in the field. From OpenAI's GPT-3 language model to Nuro's autonomous delivery vehicles, these startups are pushing the boundaries of what is possible with AI, and paving the way for new applications and innovations.<\/p>\n\n\n\n

                                                                            As AI continues to play an increasingly important role in our lives and society, these startups will undoubtedly play a key role in shaping its future. By developing more accurate and efficient models, expanding their operations, and pushing for greater fairness and inclusivity, these startups are setting a high bar for the industry as a whole.<\/p>\n\n\n\n

                                                                            Whether it's in healthcare, logistics, finance, or any other industry, the potential applications of AI are endless. And with the continued progress and innovation of these top startups, we can be confident that we are moving ever closer to a future where AI plays a central role in driving progress and improving our lives.<\/p>\n","post_title":"Huge AI Step in Last Quarter: Exciting Developments from Top AI Startups","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"huge-ai-step-in-last-quarter","to_ping":"","pinged":"","post_modified":"2023-05-11 13:08:34","post_modified_gmt":"2023-05-11 20:08:34","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/?p=9606","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":744,"post_author":"1","post_date":"2018-05-07 23:21:00","post_date_gmt":"2018-05-08 06:21:00","post_content":"\n

                                                                            Corporations don\u2019t have five to ten years to waste developing a product that no one wants. Instead of building a plan and following it without question, companies should focus on implementing ideas quickly to determine whether they are good enough to spend more resources on. That\u2019s where the lean startup method comes in to jumpstart corporate innovation strategies.<\/p>\n\n\n\n

                                                                            The lean startup method takes ideas around lean manufacturing and applies them to the process of innovation. Instead of using a business plan as a prediction of the future, a company turns the business plan into a series of hypotheses, such as what customers do or don\u2019t want, and then quickly performs experiments to test these hypotheses.<\/p>\n\n\n\n

                                                                            In order to test hypotheses, companies create a minimum viable product. A minimum viable product is a scaled down version of an expansive vision of a product that can be delivered quickly and inexpensively. A minimum viable product allows companies to rapidly test ideas and determine whether or not they work in order to change directions without investing too many resources.<\/p>\n\n\n\n

                                                                            Eric Ries, author of The Lean Startup<\/i>, presents five principles of the lean startup method.<\/p>\n\n\n\n

                                                                            5 Principles of the Lean Startup Method:<\/p>\n\n\n\n

                                                                            1. Entrepreneurs are everywhere<\/li>
                                                                            2. Entrepreneurship is management<\/li>
                                                                            3. Validated learning<\/li>
                                                                            4. Build-Measure-Learn<\/li>
                                                                            5. Innovation accounting<\/li><\/ol>\n\n\n\n

                                                                              What do these lean startup principles mean for corporations?<\/p>\n\n\n\n

                                                                              1. Entrepreneurs are everywhere<\/strong><\/h2>\n\n\n\n

                                                                              A modern company sees the creativity and talent of every employee as a precious resource. In order to leverage its entrepreneurs, a modern company needs to address all employees as entrepreneurs. Why? One, because we never know who the entrepreneurs are. Two, because most ideas are bad. If everyone can contribute ideas, companies have a greater chance of finding a good idea. But there needs to be a process as a company can\u2019t implement every idea, even with a lean startup strategy.<\/p>\n\n\n\n

                                                                              2. Entrepreneurship is management<\/strong><\/h2>\n\n\n\n

                                                                              Eric Ries defines a startup as \u201ca human institution designed to create new products and services under conditions of extreme uncertainty.\u201d A startup is an experiment. Any size company can perform experiments. The key is to have a strategy when meeting failure. That is to pivot. When a company pivots, they stay grounded in what they\u2019ve learned and change directions. Since time is money, the path to success is reducing the amount of time between pivots.<\/p>\n\n\n\n

                                                                              3. Validated learning<\/strong><\/h2>\n\n\n\n

                                                                              Companies should move from simply making stuff to validated learning. With validated learning the unit of measurement is not how far along the team is on adding features, but how far along the company is on learning who they\u2019re customers are and what their customers need. As William Edwards Deming, an American engineer, said, \u201cThe customer is the most important part of the production line.\u201d Teams must rigorously assess whether they are learning how to build a sustainable business. And a sustainable business is one that first understands the customer\u2019s needs.<\/p>\n\n\n\n

                                                                              4. Build-Measure-Learn<\/strong><\/h2>\n\n\n\n

                                                                              The question is not whether a product can be built but whether it should be built. Companies can build things very efficiently that nobody wants. The build-measure-learn cycle involves turning ideas into products quickly, measuring how customers respond, and then learning whether or not to pivot or persevere. A minimum viable product only needs to include features necessary to learn what customers want.<\/p>\n\n\n\n

                                                                              5. Innovation accounting<\/strong><\/h2>\n\n\n\n

                                                                              Entrepreneurs need to be held accountable, but to a different set of metrics. Instead of having product milestones, innovators should have learning milestones. A measurable metric for learning is customer behavior. Product development focuses on improvement in customer retention instead of product sales. With learning milestones, companies give themselves a timeframe to meet a customer behavior baseline and choose whether or not to pivot.<\/p>\n","post_title":"A Competitive Edge for Corporations: The Lean Startup Method and Innovation","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation","to_ping":"","pinged":"","post_modified":"2019-12-27 20:45:15","post_modified_gmt":"2019-12-28 04:45:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/blog\/a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation\/","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"prev":false,"total_page":1},"paged":1,"column_class":"jeg_col_2o3","class":"epic_block_5"};

                                                                              Search

                                                                              Latest

                                                                              \n
                                                                                \n
                                                                              1. Nuro: Autonomous Delivery Vehicles<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                Nuro, a robotics company that specializes in autonomous delivery vehicles, has continued to expand its operations in the last quarter. The startup has partnered with a number of major retailers and grocery stores to provide autonomous delivery services in various cities across the United States. Nuro's technology has the potential to revolutionize the logistics industry and could help to reduce transportation-related emissions in the future.<\/p>\n\n\n\n

                                                                                  \n
                                                                                1. Freenome: Cancer Screening Breakthroughs<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                  Freenome, a healthcare startup that uses AI to develop non-invasive cancer screening tests, has made significant strides in the last quarter. The company announced that it had made major advancements in its ability to detect early-stage cancers using a simple blood test. This development has the potential to transform cancer screening and could help to save countless lives in the future.<\/p>\n\n\n\n

                                                                                    \n
                                                                                  1. ChatGPT: Conversational AI Advancements<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                    ChatGPT, an AI language model trained by OpenAI, has continued to make progress in the last quarter. The model has been used in a variety of applications, from chatbots to content creation, and has been praised for its ability to generate high-quality and natural-sounding language. In the last quarter, ChatGPT made significant advancements in its ability to understand and respond to complex questions and requests, bringing us one step closer to the development of truly intelligent conversational agents.<\/p>\n\n\n\n

                                                                                      \n
                                                                                    1. Zest AI: Fairness in Credit Scoring<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                      Zest AI, a machine learning platform that specializes in credit underwriting and risk assessment for financial institutions, has made important strides in the last quarter towards developing more fair and equitable credit scoring models. The company announced that it had created a new algorithm that significantly reduces the impact of race, gender, and other demographic factors on credit scores, making the process more inclusive and unbiased.<\/p>\n\n\n\n

                                                                                      In conclusion, the last quarter has been an exciting time for AI startups, as they continue to make impressive advancements in the field. From OpenAI's GPT-3 language model to Nuro's autonomous delivery vehicles, these startups are pushing the boundaries of what is possible with AI, and paving the way for new applications and innovations.<\/p>\n\n\n\n

                                                                                      As AI continues to play an increasingly important role in our lives and society, these startups will undoubtedly play a key role in shaping its future. By developing more accurate and efficient models, expanding their operations, and pushing for greater fairness and inclusivity, these startups are setting a high bar for the industry as a whole.<\/p>\n\n\n\n

                                                                                      Whether it's in healthcare, logistics, finance, or any other industry, the potential applications of AI are endless. And with the continued progress and innovation of these top startups, we can be confident that we are moving ever closer to a future where AI plays a central role in driving progress and improving our lives.<\/p>\n","post_title":"Huge AI Step in Last Quarter: Exciting Developments from Top AI Startups","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"huge-ai-step-in-last-quarter","to_ping":"","pinged":"","post_modified":"2023-05-11 13:08:34","post_modified_gmt":"2023-05-11 20:08:34","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/?p=9606","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":744,"post_author":"1","post_date":"2018-05-07 23:21:00","post_date_gmt":"2018-05-08 06:21:00","post_content":"\n

                                                                                      Corporations don\u2019t have five to ten years to waste developing a product that no one wants. Instead of building a plan and following it without question, companies should focus on implementing ideas quickly to determine whether they are good enough to spend more resources on. That\u2019s where the lean startup method comes in to jumpstart corporate innovation strategies.<\/p>\n\n\n\n

                                                                                      The lean startup method takes ideas around lean manufacturing and applies them to the process of innovation. Instead of using a business plan as a prediction of the future, a company turns the business plan into a series of hypotheses, such as what customers do or don\u2019t want, and then quickly performs experiments to test these hypotheses.<\/p>\n\n\n\n

                                                                                      In order to test hypotheses, companies create a minimum viable product. A minimum viable product is a scaled down version of an expansive vision of a product that can be delivered quickly and inexpensively. A minimum viable product allows companies to rapidly test ideas and determine whether or not they work in order to change directions without investing too many resources.<\/p>\n\n\n\n

                                                                                      Eric Ries, author of The Lean Startup<\/i>, presents five principles of the lean startup method.<\/p>\n\n\n\n

                                                                                      5 Principles of the Lean Startup Method:<\/p>\n\n\n\n

                                                                                      1. Entrepreneurs are everywhere<\/li>
                                                                                      2. Entrepreneurship is management<\/li>
                                                                                      3. Validated learning<\/li>
                                                                                      4. Build-Measure-Learn<\/li>
                                                                                      5. Innovation accounting<\/li><\/ol>\n\n\n\n

                                                                                        What do these lean startup principles mean for corporations?<\/p>\n\n\n\n

                                                                                        1. Entrepreneurs are everywhere<\/strong><\/h2>\n\n\n\n

                                                                                        A modern company sees the creativity and talent of every employee as a precious resource. In order to leverage its entrepreneurs, a modern company needs to address all employees as entrepreneurs. Why? One, because we never know who the entrepreneurs are. Two, because most ideas are bad. If everyone can contribute ideas, companies have a greater chance of finding a good idea. But there needs to be a process as a company can\u2019t implement every idea, even with a lean startup strategy.<\/p>\n\n\n\n

                                                                                        2. Entrepreneurship is management<\/strong><\/h2>\n\n\n\n

                                                                                        Eric Ries defines a startup as \u201ca human institution designed to create new products and services under conditions of extreme uncertainty.\u201d A startup is an experiment. Any size company can perform experiments. The key is to have a strategy when meeting failure. That is to pivot. When a company pivots, they stay grounded in what they\u2019ve learned and change directions. Since time is money, the path to success is reducing the amount of time between pivots.<\/p>\n\n\n\n

                                                                                        3. Validated learning<\/strong><\/h2>\n\n\n\n

                                                                                        Companies should move from simply making stuff to validated learning. With validated learning the unit of measurement is not how far along the team is on adding features, but how far along the company is on learning who they\u2019re customers are and what their customers need. As William Edwards Deming, an American engineer, said, \u201cThe customer is the most important part of the production line.\u201d Teams must rigorously assess whether they are learning how to build a sustainable business. And a sustainable business is one that first understands the customer\u2019s needs.<\/p>\n\n\n\n

                                                                                        4. Build-Measure-Learn<\/strong><\/h2>\n\n\n\n

                                                                                        The question is not whether a product can be built but whether it should be built. Companies can build things very efficiently that nobody wants. The build-measure-learn cycle involves turning ideas into products quickly, measuring how customers respond, and then learning whether or not to pivot or persevere. A minimum viable product only needs to include features necessary to learn what customers want.<\/p>\n\n\n\n

                                                                                        5. Innovation accounting<\/strong><\/h2>\n\n\n\n

                                                                                        Entrepreneurs need to be held accountable, but to a different set of metrics. Instead of having product milestones, innovators should have learning milestones. A measurable metric for learning is customer behavior. Product development focuses on improvement in customer retention instead of product sales. With learning milestones, companies give themselves a timeframe to meet a customer behavior baseline and choose whether or not to pivot.<\/p>\n","post_title":"A Competitive Edge for Corporations: The Lean Startup Method and Innovation","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation","to_ping":"","pinged":"","post_modified":"2019-12-27 20:45:15","post_modified_gmt":"2019-12-28 04:45:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/blog\/a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation\/","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"prev":false,"total_page":1},"paged":1,"column_class":"jeg_col_2o3","class":"epic_block_5"};

                                                                                        Search

                                                                                        Latest

                                                                                        \n

                                                                                        OpenAI's GPT-3 language model has been making waves in the AI community since it was released last year, and in the last quarter, it has continued to make impressive advancements. OpenAI announced that it had created a new version of GPT-3 that was capable of generating coherent and consistent multi-paragraph texts, a significant improvement over the previous version. This development has enormous implications for the future of natural language processing and AI-generated content.<\/p>\n\n\n\n

                                                                                          \n
                                                                                        1. Nuro: Autonomous Delivery Vehicles<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                          Nuro, a robotics company that specializes in autonomous delivery vehicles, has continued to expand its operations in the last quarter. The startup has partnered with a number of major retailers and grocery stores to provide autonomous delivery services in various cities across the United States. Nuro's technology has the potential to revolutionize the logistics industry and could help to reduce transportation-related emissions in the future.<\/p>\n\n\n\n

                                                                                            \n
                                                                                          1. Freenome: Cancer Screening Breakthroughs<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                            Freenome, a healthcare startup that uses AI to develop non-invasive cancer screening tests, has made significant strides in the last quarter. The company announced that it had made major advancements in its ability to detect early-stage cancers using a simple blood test. This development has the potential to transform cancer screening and could help to save countless lives in the future.<\/p>\n\n\n\n

                                                                                              \n
                                                                                            1. ChatGPT: Conversational AI Advancements<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                              ChatGPT, an AI language model trained by OpenAI, has continued to make progress in the last quarter. The model has been used in a variety of applications, from chatbots to content creation, and has been praised for its ability to generate high-quality and natural-sounding language. In the last quarter, ChatGPT made significant advancements in its ability to understand and respond to complex questions and requests, bringing us one step closer to the development of truly intelligent conversational agents.<\/p>\n\n\n\n

                                                                                                \n
                                                                                              1. Zest AI: Fairness in Credit Scoring<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                                Zest AI, a machine learning platform that specializes in credit underwriting and risk assessment for financial institutions, has made important strides in the last quarter towards developing more fair and equitable credit scoring models. The company announced that it had created a new algorithm that significantly reduces the impact of race, gender, and other demographic factors on credit scores, making the process more inclusive and unbiased.<\/p>\n\n\n\n

                                                                                                In conclusion, the last quarter has been an exciting time for AI startups, as they continue to make impressive advancements in the field. From OpenAI's GPT-3 language model to Nuro's autonomous delivery vehicles, these startups are pushing the boundaries of what is possible with AI, and paving the way for new applications and innovations.<\/p>\n\n\n\n

                                                                                                As AI continues to play an increasingly important role in our lives and society, these startups will undoubtedly play a key role in shaping its future. By developing more accurate and efficient models, expanding their operations, and pushing for greater fairness and inclusivity, these startups are setting a high bar for the industry as a whole.<\/p>\n\n\n\n

                                                                                                Whether it's in healthcare, logistics, finance, or any other industry, the potential applications of AI are endless. And with the continued progress and innovation of these top startups, we can be confident that we are moving ever closer to a future where AI plays a central role in driving progress and improving our lives.<\/p>\n","post_title":"Huge AI Step in Last Quarter: Exciting Developments from Top AI Startups","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"huge-ai-step-in-last-quarter","to_ping":"","pinged":"","post_modified":"2023-05-11 13:08:34","post_modified_gmt":"2023-05-11 20:08:34","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/?p=9606","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":744,"post_author":"1","post_date":"2018-05-07 23:21:00","post_date_gmt":"2018-05-08 06:21:00","post_content":"\n

                                                                                                Corporations don\u2019t have five to ten years to waste developing a product that no one wants. Instead of building a plan and following it without question, companies should focus on implementing ideas quickly to determine whether they are good enough to spend more resources on. That\u2019s where the lean startup method comes in to jumpstart corporate innovation strategies.<\/p>\n\n\n\n

                                                                                                The lean startup method takes ideas around lean manufacturing and applies them to the process of innovation. Instead of using a business plan as a prediction of the future, a company turns the business plan into a series of hypotheses, such as what customers do or don\u2019t want, and then quickly performs experiments to test these hypotheses.<\/p>\n\n\n\n

                                                                                                In order to test hypotheses, companies create a minimum viable product. A minimum viable product is a scaled down version of an expansive vision of a product that can be delivered quickly and inexpensively. A minimum viable product allows companies to rapidly test ideas and determine whether or not they work in order to change directions without investing too many resources.<\/p>\n\n\n\n

                                                                                                Eric Ries, author of The Lean Startup<\/i>, presents five principles of the lean startup method.<\/p>\n\n\n\n

                                                                                                5 Principles of the Lean Startup Method:<\/p>\n\n\n\n

                                                                                                1. Entrepreneurs are everywhere<\/li>
                                                                                                2. Entrepreneurship is management<\/li>
                                                                                                3. Validated learning<\/li>
                                                                                                4. Build-Measure-Learn<\/li>
                                                                                                5. Innovation accounting<\/li><\/ol>\n\n\n\n

                                                                                                  What do these lean startup principles mean for corporations?<\/p>\n\n\n\n

                                                                                                  1. Entrepreneurs are everywhere<\/strong><\/h2>\n\n\n\n

                                                                                                  A modern company sees the creativity and talent of every employee as a precious resource. In order to leverage its entrepreneurs, a modern company needs to address all employees as entrepreneurs. Why? One, because we never know who the entrepreneurs are. Two, because most ideas are bad. If everyone can contribute ideas, companies have a greater chance of finding a good idea. But there needs to be a process as a company can\u2019t implement every idea, even with a lean startup strategy.<\/p>\n\n\n\n

                                                                                                  2. Entrepreneurship is management<\/strong><\/h2>\n\n\n\n

                                                                                                  Eric Ries defines a startup as \u201ca human institution designed to create new products and services under conditions of extreme uncertainty.\u201d A startup is an experiment. Any size company can perform experiments. The key is to have a strategy when meeting failure. That is to pivot. When a company pivots, they stay grounded in what they\u2019ve learned and change directions. Since time is money, the path to success is reducing the amount of time between pivots.<\/p>\n\n\n\n

                                                                                                  3. Validated learning<\/strong><\/h2>\n\n\n\n

                                                                                                  Companies should move from simply making stuff to validated learning. With validated learning the unit of measurement is not how far along the team is on adding features, but how far along the company is on learning who they\u2019re customers are and what their customers need. As William Edwards Deming, an American engineer, said, \u201cThe customer is the most important part of the production line.\u201d Teams must rigorously assess whether they are learning how to build a sustainable business. And a sustainable business is one that first understands the customer\u2019s needs.<\/p>\n\n\n\n

                                                                                                  4. Build-Measure-Learn<\/strong><\/h2>\n\n\n\n

                                                                                                  The question is not whether a product can be built but whether it should be built. Companies can build things very efficiently that nobody wants. The build-measure-learn cycle involves turning ideas into products quickly, measuring how customers respond, and then learning whether or not to pivot or persevere. A minimum viable product only needs to include features necessary to learn what customers want.<\/p>\n\n\n\n

                                                                                                  5. Innovation accounting<\/strong><\/h2>\n\n\n\n

                                                                                                  Entrepreneurs need to be held accountable, but to a different set of metrics. Instead of having product milestones, innovators should have learning milestones. A measurable metric for learning is customer behavior. Product development focuses on improvement in customer retention instead of product sales. With learning milestones, companies give themselves a timeframe to meet a customer behavior baseline and choose whether or not to pivot.<\/p>\n","post_title":"A Competitive Edge for Corporations: The Lean Startup Method and Innovation","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation","to_ping":"","pinged":"","post_modified":"2019-12-27 20:45:15","post_modified_gmt":"2019-12-28 04:45:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/blog\/a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation\/","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"prev":false,"total_page":1},"paged":1,"column_class":"jeg_col_2o3","class":"epic_block_5"};

                                                                                                  Search

                                                                                                  Latest

                                                                                                  \n
                                                                                                6. OpenAI: GPT-3 Advances<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                                  OpenAI's GPT-3 language model has been making waves in the AI community since it was released last year, and in the last quarter, it has continued to make impressive advancements. OpenAI announced that it had created a new version of GPT-3 that was capable of generating coherent and consistent multi-paragraph texts, a significant improvement over the previous version. This development has enormous implications for the future of natural language processing and AI-generated content.<\/p>\n\n\n\n

                                                                                                    \n
                                                                                                  1. Nuro: Autonomous Delivery Vehicles<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                                    Nuro, a robotics company that specializes in autonomous delivery vehicles, has continued to expand its operations in the last quarter. The startup has partnered with a number of major retailers and grocery stores to provide autonomous delivery services in various cities across the United States. Nuro's technology has the potential to revolutionize the logistics industry and could help to reduce transportation-related emissions in the future.<\/p>\n\n\n\n

                                                                                                      \n
                                                                                                    1. Freenome: Cancer Screening Breakthroughs<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                                      Freenome, a healthcare startup that uses AI to develop non-invasive cancer screening tests, has made significant strides in the last quarter. The company announced that it had made major advancements in its ability to detect early-stage cancers using a simple blood test. This development has the potential to transform cancer screening and could help to save countless lives in the future.<\/p>\n\n\n\n

                                                                                                        \n
                                                                                                      1. ChatGPT: Conversational AI Advancements<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                                        ChatGPT, an AI language model trained by OpenAI, has continued to make progress in the last quarter. The model has been used in a variety of applications, from chatbots to content creation, and has been praised for its ability to generate high-quality and natural-sounding language. In the last quarter, ChatGPT made significant advancements in its ability to understand and respond to complex questions and requests, bringing us one step closer to the development of truly intelligent conversational agents.<\/p>\n\n\n\n

                                                                                                          \n
                                                                                                        1. Zest AI: Fairness in Credit Scoring<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                                          Zest AI, a machine learning platform that specializes in credit underwriting and risk assessment for financial institutions, has made important strides in the last quarter towards developing more fair and equitable credit scoring models. The company announced that it had created a new algorithm that significantly reduces the impact of race, gender, and other demographic factors on credit scores, making the process more inclusive and unbiased.<\/p>\n\n\n\n

                                                                                                          In conclusion, the last quarter has been an exciting time for AI startups, as they continue to make impressive advancements in the field. From OpenAI's GPT-3 language model to Nuro's autonomous delivery vehicles, these startups are pushing the boundaries of what is possible with AI, and paving the way for new applications and innovations.<\/p>\n\n\n\n

                                                                                                          As AI continues to play an increasingly important role in our lives and society, these startups will undoubtedly play a key role in shaping its future. By developing more accurate and efficient models, expanding their operations, and pushing for greater fairness and inclusivity, these startups are setting a high bar for the industry as a whole.<\/p>\n\n\n\n

                                                                                                          Whether it's in healthcare, logistics, finance, or any other industry, the potential applications of AI are endless. And with the continued progress and innovation of these top startups, we can be confident that we are moving ever closer to a future where AI plays a central role in driving progress and improving our lives.<\/p>\n","post_title":"Huge AI Step in Last Quarter: Exciting Developments from Top AI Startups","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"huge-ai-step-in-last-quarter","to_ping":"","pinged":"","post_modified":"2023-05-11 13:08:34","post_modified_gmt":"2023-05-11 20:08:34","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/?p=9606","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":744,"post_author":"1","post_date":"2018-05-07 23:21:00","post_date_gmt":"2018-05-08 06:21:00","post_content":"\n

                                                                                                          Corporations don\u2019t have five to ten years to waste developing a product that no one wants. Instead of building a plan and following it without question, companies should focus on implementing ideas quickly to determine whether they are good enough to spend more resources on. That\u2019s where the lean startup method comes in to jumpstart corporate innovation strategies.<\/p>\n\n\n\n

                                                                                                          The lean startup method takes ideas around lean manufacturing and applies them to the process of innovation. Instead of using a business plan as a prediction of the future, a company turns the business plan into a series of hypotheses, such as what customers do or don\u2019t want, and then quickly performs experiments to test these hypotheses.<\/p>\n\n\n\n

                                                                                                          In order to test hypotheses, companies create a minimum viable product. A minimum viable product is a scaled down version of an expansive vision of a product that can be delivered quickly and inexpensively. A minimum viable product allows companies to rapidly test ideas and determine whether or not they work in order to change directions without investing too many resources.<\/p>\n\n\n\n

                                                                                                          Eric Ries, author of The Lean Startup<\/i>, presents five principles of the lean startup method.<\/p>\n\n\n\n

                                                                                                          5 Principles of the Lean Startup Method:<\/p>\n\n\n\n

                                                                                                          1. Entrepreneurs are everywhere<\/li>
                                                                                                          2. Entrepreneurship is management<\/li>
                                                                                                          3. Validated learning<\/li>
                                                                                                          4. Build-Measure-Learn<\/li>
                                                                                                          5. Innovation accounting<\/li><\/ol>\n\n\n\n

                                                                                                            What do these lean startup principles mean for corporations?<\/p>\n\n\n\n

                                                                                                            1. Entrepreneurs are everywhere<\/strong><\/h2>\n\n\n\n

                                                                                                            A modern company sees the creativity and talent of every employee as a precious resource. In order to leverage its entrepreneurs, a modern company needs to address all employees as entrepreneurs. Why? One, because we never know who the entrepreneurs are. Two, because most ideas are bad. If everyone can contribute ideas, companies have a greater chance of finding a good idea. But there needs to be a process as a company can\u2019t implement every idea, even with a lean startup strategy.<\/p>\n\n\n\n

                                                                                                            2. Entrepreneurship is management<\/strong><\/h2>\n\n\n\n

                                                                                                            Eric Ries defines a startup as \u201ca human institution designed to create new products and services under conditions of extreme uncertainty.\u201d A startup is an experiment. Any size company can perform experiments. The key is to have a strategy when meeting failure. That is to pivot. When a company pivots, they stay grounded in what they\u2019ve learned and change directions. Since time is money, the path to success is reducing the amount of time between pivots.<\/p>\n\n\n\n

                                                                                                            3. Validated learning<\/strong><\/h2>\n\n\n\n

                                                                                                            Companies should move from simply making stuff to validated learning. With validated learning the unit of measurement is not how far along the team is on adding features, but how far along the company is on learning who they\u2019re customers are and what their customers need. As William Edwards Deming, an American engineer, said, \u201cThe customer is the most important part of the production line.\u201d Teams must rigorously assess whether they are learning how to build a sustainable business. And a sustainable business is one that first understands the customer\u2019s needs.<\/p>\n\n\n\n

                                                                                                            4. Build-Measure-Learn<\/strong><\/h2>\n\n\n\n

                                                                                                            The question is not whether a product can be built but whether it should be built. Companies can build things very efficiently that nobody wants. The build-measure-learn cycle involves turning ideas into products quickly, measuring how customers respond, and then learning whether or not to pivot or persevere. A minimum viable product only needs to include features necessary to learn what customers want.<\/p>\n\n\n\n

                                                                                                            5. Innovation accounting<\/strong><\/h2>\n\n\n\n

                                                                                                            Entrepreneurs need to be held accountable, but to a different set of metrics. Instead of having product milestones, innovators should have learning milestones. A measurable metric for learning is customer behavior. Product development focuses on improvement in customer retention instead of product sales. With learning milestones, companies give themselves a timeframe to meet a customer behavior baseline and choose whether or not to pivot.<\/p>\n","post_title":"A Competitive Edge for Corporations: The Lean Startup Method and Innovation","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation","to_ping":"","pinged":"","post_modified":"2019-12-27 20:45:15","post_modified_gmt":"2019-12-28 04:45:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/blog\/a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation\/","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"prev":false,"total_page":1},"paged":1,"column_class":"jeg_col_2o3","class":"epic_block_5"};

                                                                                                            Search

                                                                                                            Latest

                                                                                                            \n
                                                                                                              \n
                                                                                                            1. OpenAI: GPT-3 Advances<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                                              OpenAI's GPT-3 language model has been making waves in the AI community since it was released last year, and in the last quarter, it has continued to make impressive advancements. OpenAI announced that it had created a new version of GPT-3 that was capable of generating coherent and consistent multi-paragraph texts, a significant improvement over the previous version. This development has enormous implications for the future of natural language processing and AI-generated content.<\/p>\n\n\n\n

                                                                                                                \n
                                                                                                              1. Nuro: Autonomous Delivery Vehicles<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                                                Nuro, a robotics company that specializes in autonomous delivery vehicles, has continued to expand its operations in the last quarter. The startup has partnered with a number of major retailers and grocery stores to provide autonomous delivery services in various cities across the United States. Nuro's technology has the potential to revolutionize the logistics industry and could help to reduce transportation-related emissions in the future.<\/p>\n\n\n\n

                                                                                                                  \n
                                                                                                                1. Freenome: Cancer Screening Breakthroughs<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                                                  Freenome, a healthcare startup that uses AI to develop non-invasive cancer screening tests, has made significant strides in the last quarter. The company announced that it had made major advancements in its ability to detect early-stage cancers using a simple blood test. This development has the potential to transform cancer screening and could help to save countless lives in the future.<\/p>\n\n\n\n

                                                                                                                    \n
                                                                                                                  1. ChatGPT: Conversational AI Advancements<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                                                    ChatGPT, an AI language model trained by OpenAI, has continued to make progress in the last quarter. The model has been used in a variety of applications, from chatbots to content creation, and has been praised for its ability to generate high-quality and natural-sounding language. In the last quarter, ChatGPT made significant advancements in its ability to understand and respond to complex questions and requests, bringing us one step closer to the development of truly intelligent conversational agents.<\/p>\n\n\n\n

                                                                                                                      \n
                                                                                                                    1. Zest AI: Fairness in Credit Scoring<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                                                      Zest AI, a machine learning platform that specializes in credit underwriting and risk assessment for financial institutions, has made important strides in the last quarter towards developing more fair and equitable credit scoring models. The company announced that it had created a new algorithm that significantly reduces the impact of race, gender, and other demographic factors on credit scores, making the process more inclusive and unbiased.<\/p>\n\n\n\n

                                                                                                                      In conclusion, the last quarter has been an exciting time for AI startups, as they continue to make impressive advancements in the field. From OpenAI's GPT-3 language model to Nuro's autonomous delivery vehicles, these startups are pushing the boundaries of what is possible with AI, and paving the way for new applications and innovations.<\/p>\n\n\n\n

                                                                                                                      As AI continues to play an increasingly important role in our lives and society, these startups will undoubtedly play a key role in shaping its future. By developing more accurate and efficient models, expanding their operations, and pushing for greater fairness and inclusivity, these startups are setting a high bar for the industry as a whole.<\/p>\n\n\n\n

                                                                                                                      Whether it's in healthcare, logistics, finance, or any other industry, the potential applications of AI are endless. And with the continued progress and innovation of these top startups, we can be confident that we are moving ever closer to a future where AI plays a central role in driving progress and improving our lives.<\/p>\n","post_title":"Huge AI Step in Last Quarter: Exciting Developments from Top AI Startups","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"huge-ai-step-in-last-quarter","to_ping":"","pinged":"","post_modified":"2023-05-11 13:08:34","post_modified_gmt":"2023-05-11 20:08:34","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/?p=9606","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":744,"post_author":"1","post_date":"2018-05-07 23:21:00","post_date_gmt":"2018-05-08 06:21:00","post_content":"\n

                                                                                                                      Corporations don\u2019t have five to ten years to waste developing a product that no one wants. Instead of building a plan and following it without question, companies should focus on implementing ideas quickly to determine whether they are good enough to spend more resources on. That\u2019s where the lean startup method comes in to jumpstart corporate innovation strategies.<\/p>\n\n\n\n

                                                                                                                      The lean startup method takes ideas around lean manufacturing and applies them to the process of innovation. Instead of using a business plan as a prediction of the future, a company turns the business plan into a series of hypotheses, such as what customers do or don\u2019t want, and then quickly performs experiments to test these hypotheses.<\/p>\n\n\n\n

                                                                                                                      In order to test hypotheses, companies create a minimum viable product. A minimum viable product is a scaled down version of an expansive vision of a product that can be delivered quickly and inexpensively. A minimum viable product allows companies to rapidly test ideas and determine whether or not they work in order to change directions without investing too many resources.<\/p>\n\n\n\n

                                                                                                                      Eric Ries, author of The Lean Startup<\/i>, presents five principles of the lean startup method.<\/p>\n\n\n\n

                                                                                                                      5 Principles of the Lean Startup Method:<\/p>\n\n\n\n

                                                                                                                      1. Entrepreneurs are everywhere<\/li>
                                                                                                                      2. Entrepreneurship is management<\/li>
                                                                                                                      3. Validated learning<\/li>
                                                                                                                      4. Build-Measure-Learn<\/li>
                                                                                                                      5. Innovation accounting<\/li><\/ol>\n\n\n\n

                                                                                                                        What do these lean startup principles mean for corporations?<\/p>\n\n\n\n

                                                                                                                        1. Entrepreneurs are everywhere<\/strong><\/h2>\n\n\n\n

                                                                                                                        A modern company sees the creativity and talent of every employee as a precious resource. In order to leverage its entrepreneurs, a modern company needs to address all employees as entrepreneurs. Why? One, because we never know who the entrepreneurs are. Two, because most ideas are bad. If everyone can contribute ideas, companies have a greater chance of finding a good idea. But there needs to be a process as a company can\u2019t implement every idea, even with a lean startup strategy.<\/p>\n\n\n\n

                                                                                                                        2. Entrepreneurship is management<\/strong><\/h2>\n\n\n\n

                                                                                                                        Eric Ries defines a startup as \u201ca human institution designed to create new products and services under conditions of extreme uncertainty.\u201d A startup is an experiment. Any size company can perform experiments. The key is to have a strategy when meeting failure. That is to pivot. When a company pivots, they stay grounded in what they\u2019ve learned and change directions. Since time is money, the path to success is reducing the amount of time between pivots.<\/p>\n\n\n\n

                                                                                                                        3. Validated learning<\/strong><\/h2>\n\n\n\n

                                                                                                                        Companies should move from simply making stuff to validated learning. With validated learning the unit of measurement is not how far along the team is on adding features, but how far along the company is on learning who they\u2019re customers are and what their customers need. As William Edwards Deming, an American engineer, said, \u201cThe customer is the most important part of the production line.\u201d Teams must rigorously assess whether they are learning how to build a sustainable business. And a sustainable business is one that first understands the customer\u2019s needs.<\/p>\n\n\n\n

                                                                                                                        4. Build-Measure-Learn<\/strong><\/h2>\n\n\n\n

                                                                                                                        The question is not whether a product can be built but whether it should be built. Companies can build things very efficiently that nobody wants. The build-measure-learn cycle involves turning ideas into products quickly, measuring how customers respond, and then learning whether or not to pivot or persevere. A minimum viable product only needs to include features necessary to learn what customers want.<\/p>\n\n\n\n

                                                                                                                        5. Innovation accounting<\/strong><\/h2>\n\n\n\n

                                                                                                                        Entrepreneurs need to be held accountable, but to a different set of metrics. Instead of having product milestones, innovators should have learning milestones. A measurable metric for learning is customer behavior. Product development focuses on improvement in customer retention instead of product sales. With learning milestones, companies give themselves a timeframe to meet a customer behavior baseline and choose whether or not to pivot.<\/p>\n","post_title":"A Competitive Edge for Corporations: The Lean Startup Method and Innovation","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation","to_ping":"","pinged":"","post_modified":"2019-12-27 20:45:15","post_modified_gmt":"2019-12-28 04:45:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/blog\/a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation\/","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"prev":false,"total_page":1},"paged":1,"column_class":"jeg_col_2o3","class":"epic_block_5"};

                                                                                                                        Search

                                                                                                                        Latest

                                                                                                                        \n

                                                                                                                        Artificial intelligence (AI) is continuing to make significant strides forward, and in the last quarter, a number of top startups have made major breakthroughs in the field. From advancements in natural language processing to new applications for machine learning, these startups are leading the charge in AI innovation. Here are some of the most exciting developments from the last quarter:<\/p><\/blockquote><\/figure>\n\n\n\n

                                                                                                                          \n
                                                                                                                        1. OpenAI: GPT-3 Advances<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                                                          OpenAI's GPT-3 language model has been making waves in the AI community since it was released last year, and in the last quarter, it has continued to make impressive advancements. OpenAI announced that it had created a new version of GPT-3 that was capable of generating coherent and consistent multi-paragraph texts, a significant improvement over the previous version. This development has enormous implications for the future of natural language processing and AI-generated content.<\/p>\n\n\n\n

                                                                                                                            \n
                                                                                                                          1. Nuro: Autonomous Delivery Vehicles<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                                                            Nuro, a robotics company that specializes in autonomous delivery vehicles, has continued to expand its operations in the last quarter. The startup has partnered with a number of major retailers and grocery stores to provide autonomous delivery services in various cities across the United States. Nuro's technology has the potential to revolutionize the logistics industry and could help to reduce transportation-related emissions in the future.<\/p>\n\n\n\n

                                                                                                                              \n
                                                                                                                            1. Freenome: Cancer Screening Breakthroughs<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                                                              Freenome, a healthcare startup that uses AI to develop non-invasive cancer screening tests, has made significant strides in the last quarter. The company announced that it had made major advancements in its ability to detect early-stage cancers using a simple blood test. This development has the potential to transform cancer screening and could help to save countless lives in the future.<\/p>\n\n\n\n

                                                                                                                                \n
                                                                                                                              1. ChatGPT: Conversational AI Advancements<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                                                                ChatGPT, an AI language model trained by OpenAI, has continued to make progress in the last quarter. The model has been used in a variety of applications, from chatbots to content creation, and has been praised for its ability to generate high-quality and natural-sounding language. In the last quarter, ChatGPT made significant advancements in its ability to understand and respond to complex questions and requests, bringing us one step closer to the development of truly intelligent conversational agents.<\/p>\n\n\n\n

                                                                                                                                  \n
                                                                                                                                1. Zest AI: Fairness in Credit Scoring<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                                                                  Zest AI, a machine learning platform that specializes in credit underwriting and risk assessment for financial institutions, has made important strides in the last quarter towards developing more fair and equitable credit scoring models. The company announced that it had created a new algorithm that significantly reduces the impact of race, gender, and other demographic factors on credit scores, making the process more inclusive and unbiased.<\/p>\n\n\n\n

                                                                                                                                  In conclusion, the last quarter has been an exciting time for AI startups, as they continue to make impressive advancements in the field. From OpenAI's GPT-3 language model to Nuro's autonomous delivery vehicles, these startups are pushing the boundaries of what is possible with AI, and paving the way for new applications and innovations.<\/p>\n\n\n\n

                                                                                                                                  As AI continues to play an increasingly important role in our lives and society, these startups will undoubtedly play a key role in shaping its future. By developing more accurate and efficient models, expanding their operations, and pushing for greater fairness and inclusivity, these startups are setting a high bar for the industry as a whole.<\/p>\n\n\n\n

                                                                                                                                  Whether it's in healthcare, logistics, finance, or any other industry, the potential applications of AI are endless. And with the continued progress and innovation of these top startups, we can be confident that we are moving ever closer to a future where AI plays a central role in driving progress and improving our lives.<\/p>\n","post_title":"Huge AI Step in Last Quarter: Exciting Developments from Top AI Startups","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"huge-ai-step-in-last-quarter","to_ping":"","pinged":"","post_modified":"2023-05-11 13:08:34","post_modified_gmt":"2023-05-11 20:08:34","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/?p=9606","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":744,"post_author":"1","post_date":"2018-05-07 23:21:00","post_date_gmt":"2018-05-08 06:21:00","post_content":"\n

                                                                                                                                  Corporations don\u2019t have five to ten years to waste developing a product that no one wants. Instead of building a plan and following it without question, companies should focus on implementing ideas quickly to determine whether they are good enough to spend more resources on. That\u2019s where the lean startup method comes in to jumpstart corporate innovation strategies.<\/p>\n\n\n\n

                                                                                                                                  The lean startup method takes ideas around lean manufacturing and applies them to the process of innovation. Instead of using a business plan as a prediction of the future, a company turns the business plan into a series of hypotheses, such as what customers do or don\u2019t want, and then quickly performs experiments to test these hypotheses.<\/p>\n\n\n\n

                                                                                                                                  In order to test hypotheses, companies create a minimum viable product. A minimum viable product is a scaled down version of an expansive vision of a product that can be delivered quickly and inexpensively. A minimum viable product allows companies to rapidly test ideas and determine whether or not they work in order to change directions without investing too many resources.<\/p>\n\n\n\n

                                                                                                                                  Eric Ries, author of The Lean Startup<\/i>, presents five principles of the lean startup method.<\/p>\n\n\n\n

                                                                                                                                  5 Principles of the Lean Startup Method:<\/p>\n\n\n\n

                                                                                                                                  1. Entrepreneurs are everywhere<\/li>
                                                                                                                                  2. Entrepreneurship is management<\/li>
                                                                                                                                  3. Validated learning<\/li>
                                                                                                                                  4. Build-Measure-Learn<\/li>
                                                                                                                                  5. Innovation accounting<\/li><\/ol>\n\n\n\n

                                                                                                                                    What do these lean startup principles mean for corporations?<\/p>\n\n\n\n

                                                                                                                                    1. Entrepreneurs are everywhere<\/strong><\/h2>\n\n\n\n

                                                                                                                                    A modern company sees the creativity and talent of every employee as a precious resource. In order to leverage its entrepreneurs, a modern company needs to address all employees as entrepreneurs. Why? One, because we never know who the entrepreneurs are. Two, because most ideas are bad. If everyone can contribute ideas, companies have a greater chance of finding a good idea. But there needs to be a process as a company can\u2019t implement every idea, even with a lean startup strategy.<\/p>\n\n\n\n

                                                                                                                                    2. Entrepreneurship is management<\/strong><\/h2>\n\n\n\n

                                                                                                                                    Eric Ries defines a startup as \u201ca human institution designed to create new products and services under conditions of extreme uncertainty.\u201d A startup is an experiment. Any size company can perform experiments. The key is to have a strategy when meeting failure. That is to pivot. When a company pivots, they stay grounded in what they\u2019ve learned and change directions. Since time is money, the path to success is reducing the amount of time between pivots.<\/p>\n\n\n\n

                                                                                                                                    3. Validated learning<\/strong><\/h2>\n\n\n\n

                                                                                                                                    Companies should move from simply making stuff to validated learning. With validated learning the unit of measurement is not how far along the team is on adding features, but how far along the company is on learning who they\u2019re customers are and what their customers need. As William Edwards Deming, an American engineer, said, \u201cThe customer is the most important part of the production line.\u201d Teams must rigorously assess whether they are learning how to build a sustainable business. And a sustainable business is one that first understands the customer\u2019s needs.<\/p>\n\n\n\n

                                                                                                                                    4. Build-Measure-Learn<\/strong><\/h2>\n\n\n\n

                                                                                                                                    The question is not whether a product can be built but whether it should be built. Companies can build things very efficiently that nobody wants. The build-measure-learn cycle involves turning ideas into products quickly, measuring how customers respond, and then learning whether or not to pivot or persevere. A minimum viable product only needs to include features necessary to learn what customers want.<\/p>\n\n\n\n

                                                                                                                                    5. Innovation accounting<\/strong><\/h2>\n\n\n\n

                                                                                                                                    Entrepreneurs need to be held accountable, but to a different set of metrics. Instead of having product milestones, innovators should have learning milestones. A measurable metric for learning is customer behavior. Product development focuses on improvement in customer retention instead of product sales. With learning milestones, companies give themselves a timeframe to meet a customer behavior baseline and choose whether or not to pivot.<\/p>\n","post_title":"A Competitive Edge for Corporations: The Lean Startup Method and Innovation","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation","to_ping":"","pinged":"","post_modified":"2019-12-27 20:45:15","post_modified_gmt":"2019-12-28 04:45:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/blog\/a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation\/","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"prev":false,"total_page":1},"paged":1,"column_class":"jeg_col_2o3","class":"epic_block_5"};

                                                                                                                                    Search

                                                                                                                                    Latest

                                                                                                                                    \n
                                                                                                                                  6. Deloitte: Deloitte Cloud Trends: Industry Outlook<\/a><\/li>\n<\/ul>\n","post_title":"Glimpsing Tomorrow: Future Trends in Industry Cloud Platforms","post_excerpt":"Glimpsing Tomorrow: Future Trends in Industry Cloud Platforms","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"glimpsing-tomorrow-future-trends-in-industry-cloud-platforms","to_ping":"","pinged":"","post_modified":"2024-02-06 12:51:19","post_modified_gmt":"2024-02-06 20:51:19","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/?p=10075","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":9606,"post_author":"6","post_date":"2023-05-09 15:15:58","post_date_gmt":"2023-05-09 22:15:58","post_content":"\n

                                                                                                                                    Artificial intelligence (AI) is continuing to make significant strides forward, and in the last quarter, a number of top startups have made major breakthroughs in the field. From advancements in natural language processing to new applications for machine learning, these startups are leading the charge in AI innovation. Here are some of the most exciting developments from the last quarter:<\/p><\/blockquote><\/figure>\n\n\n\n

                                                                                                                                      \n
                                                                                                                                    1. OpenAI: GPT-3 Advances<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                                                                      OpenAI's GPT-3 language model has been making waves in the AI community since it was released last year, and in the last quarter, it has continued to make impressive advancements. OpenAI announced that it had created a new version of GPT-3 that was capable of generating coherent and consistent multi-paragraph texts, a significant improvement over the previous version. This development has enormous implications for the future of natural language processing and AI-generated content.<\/p>\n\n\n\n

                                                                                                                                        \n
                                                                                                                                      1. Nuro: Autonomous Delivery Vehicles<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                                                                        Nuro, a robotics company that specializes in autonomous delivery vehicles, has continued to expand its operations in the last quarter. The startup has partnered with a number of major retailers and grocery stores to provide autonomous delivery services in various cities across the United States. Nuro's technology has the potential to revolutionize the logistics industry and could help to reduce transportation-related emissions in the future.<\/p>\n\n\n\n

                                                                                                                                          \n
                                                                                                                                        1. Freenome: Cancer Screening Breakthroughs<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                                                                          Freenome, a healthcare startup that uses AI to develop non-invasive cancer screening tests, has made significant strides in the last quarter. The company announced that it had made major advancements in its ability to detect early-stage cancers using a simple blood test. This development has the potential to transform cancer screening and could help to save countless lives in the future.<\/p>\n\n\n\n

                                                                                                                                            \n
                                                                                                                                          1. ChatGPT: Conversational AI Advancements<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                                                                            ChatGPT, an AI language model trained by OpenAI, has continued to make progress in the last quarter. The model has been used in a variety of applications, from chatbots to content creation, and has been praised for its ability to generate high-quality and natural-sounding language. In the last quarter, ChatGPT made significant advancements in its ability to understand and respond to complex questions and requests, bringing us one step closer to the development of truly intelligent conversational agents.<\/p>\n\n\n\n

                                                                                                                                              \n
                                                                                                                                            1. Zest AI: Fairness in Credit Scoring<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                                                                              Zest AI, a machine learning platform that specializes in credit underwriting and risk assessment for financial institutions, has made important strides in the last quarter towards developing more fair and equitable credit scoring models. The company announced that it had created a new algorithm that significantly reduces the impact of race, gender, and other demographic factors on credit scores, making the process more inclusive and unbiased.<\/p>\n\n\n\n

                                                                                                                                              In conclusion, the last quarter has been an exciting time for AI startups, as they continue to make impressive advancements in the field. From OpenAI's GPT-3 language model to Nuro's autonomous delivery vehicles, these startups are pushing the boundaries of what is possible with AI, and paving the way for new applications and innovations.<\/p>\n\n\n\n

                                                                                                                                              As AI continues to play an increasingly important role in our lives and society, these startups will undoubtedly play a key role in shaping its future. By developing more accurate and efficient models, expanding their operations, and pushing for greater fairness and inclusivity, these startups are setting a high bar for the industry as a whole.<\/p>\n\n\n\n

                                                                                                                                              Whether it's in healthcare, logistics, finance, or any other industry, the potential applications of AI are endless. And with the continued progress and innovation of these top startups, we can be confident that we are moving ever closer to a future where AI plays a central role in driving progress and improving our lives.<\/p>\n","post_title":"Huge AI Step in Last Quarter: Exciting Developments from Top AI Startups","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"huge-ai-step-in-last-quarter","to_ping":"","pinged":"","post_modified":"2023-05-11 13:08:34","post_modified_gmt":"2023-05-11 20:08:34","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/?p=9606","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":744,"post_author":"1","post_date":"2018-05-07 23:21:00","post_date_gmt":"2018-05-08 06:21:00","post_content":"\n

                                                                                                                                              Corporations don\u2019t have five to ten years to waste developing a product that no one wants. Instead of building a plan and following it without question, companies should focus on implementing ideas quickly to determine whether they are good enough to spend more resources on. That\u2019s where the lean startup method comes in to jumpstart corporate innovation strategies.<\/p>\n\n\n\n

                                                                                                                                              The lean startup method takes ideas around lean manufacturing and applies them to the process of innovation. Instead of using a business plan as a prediction of the future, a company turns the business plan into a series of hypotheses, such as what customers do or don\u2019t want, and then quickly performs experiments to test these hypotheses.<\/p>\n\n\n\n

                                                                                                                                              In order to test hypotheses, companies create a minimum viable product. A minimum viable product is a scaled down version of an expansive vision of a product that can be delivered quickly and inexpensively. A minimum viable product allows companies to rapidly test ideas and determine whether or not they work in order to change directions without investing too many resources.<\/p>\n\n\n\n

                                                                                                                                              Eric Ries, author of The Lean Startup<\/i>, presents five principles of the lean startup method.<\/p>\n\n\n\n

                                                                                                                                              5 Principles of the Lean Startup Method:<\/p>\n\n\n\n

                                                                                                                                              1. Entrepreneurs are everywhere<\/li>
                                                                                                                                              2. Entrepreneurship is management<\/li>
                                                                                                                                              3. Validated learning<\/li>
                                                                                                                                              4. Build-Measure-Learn<\/li>
                                                                                                                                              5. Innovation accounting<\/li><\/ol>\n\n\n\n

                                                                                                                                                What do these lean startup principles mean for corporations?<\/p>\n\n\n\n

                                                                                                                                                1. Entrepreneurs are everywhere<\/strong><\/h2>\n\n\n\n

                                                                                                                                                A modern company sees the creativity and talent of every employee as a precious resource. In order to leverage its entrepreneurs, a modern company needs to address all employees as entrepreneurs. Why? One, because we never know who the entrepreneurs are. Two, because most ideas are bad. If everyone can contribute ideas, companies have a greater chance of finding a good idea. But there needs to be a process as a company can\u2019t implement every idea, even with a lean startup strategy.<\/p>\n\n\n\n

                                                                                                                                                2. Entrepreneurship is management<\/strong><\/h2>\n\n\n\n

                                                                                                                                                Eric Ries defines a startup as \u201ca human institution designed to create new products and services under conditions of extreme uncertainty.\u201d A startup is an experiment. Any size company can perform experiments. The key is to have a strategy when meeting failure. That is to pivot. When a company pivots, they stay grounded in what they\u2019ve learned and change directions. Since time is money, the path to success is reducing the amount of time between pivots.<\/p>\n\n\n\n

                                                                                                                                                3. Validated learning<\/strong><\/h2>\n\n\n\n

                                                                                                                                                Companies should move from simply making stuff to validated learning. With validated learning the unit of measurement is not how far along the team is on adding features, but how far along the company is on learning who they\u2019re customers are and what their customers need. As William Edwards Deming, an American engineer, said, \u201cThe customer is the most important part of the production line.\u201d Teams must rigorously assess whether they are learning how to build a sustainable business. And a sustainable business is one that first understands the customer\u2019s needs.<\/p>\n\n\n\n

                                                                                                                                                4. Build-Measure-Learn<\/strong><\/h2>\n\n\n\n

                                                                                                                                                The question is not whether a product can be built but whether it should be built. Companies can build things very efficiently that nobody wants. The build-measure-learn cycle involves turning ideas into products quickly, measuring how customers respond, and then learning whether or not to pivot or persevere. A minimum viable product only needs to include features necessary to learn what customers want.<\/p>\n\n\n\n

                                                                                                                                                5. Innovation accounting<\/strong><\/h2>\n\n\n\n

                                                                                                                                                Entrepreneurs need to be held accountable, but to a different set of metrics. Instead of having product milestones, innovators should have learning milestones. A measurable metric for learning is customer behavior. Product development focuses on improvement in customer retention instead of product sales. With learning milestones, companies give themselves a timeframe to meet a customer behavior baseline and choose whether or not to pivot.<\/p>\n","post_title":"A Competitive Edge for Corporations: The Lean Startup Method and Innovation","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation","to_ping":"","pinged":"","post_modified":"2019-12-27 20:45:15","post_modified_gmt":"2019-12-28 04:45:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/blog\/a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation\/","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"prev":false,"total_page":1},"paged":1,"column_class":"jeg_col_2o3","class":"epic_block_5"};

                                                                                                                                                Search

                                                                                                                                                Latest

                                                                                                                                                \n
                                                                                                                                              6. Forbes: Forbes Insights: The Rise of Industry Cloud Platforms<\/a><\/li>\n\n\n\n
                                                                                                                                              7. Deloitte: Deloitte Cloud Trends: Industry Outlook<\/a><\/li>\n<\/ul>\n","post_title":"Glimpsing Tomorrow: Future Trends in Industry Cloud Platforms","post_excerpt":"Glimpsing Tomorrow: Future Trends in Industry Cloud Platforms","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"glimpsing-tomorrow-future-trends-in-industry-cloud-platforms","to_ping":"","pinged":"","post_modified":"2024-02-06 12:51:19","post_modified_gmt":"2024-02-06 20:51:19","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/?p=10075","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":9606,"post_author":"6","post_date":"2023-05-09 15:15:58","post_date_gmt":"2023-05-09 22:15:58","post_content":"\n

                                                                                                                                                Artificial intelligence (AI) is continuing to make significant strides forward, and in the last quarter, a number of top startups have made major breakthroughs in the field. From advancements in natural language processing to new applications for machine learning, these startups are leading the charge in AI innovation. Here are some of the most exciting developments from the last quarter:<\/p><\/blockquote><\/figure>\n\n\n\n

                                                                                                                                                  \n
                                                                                                                                                1. OpenAI: GPT-3 Advances<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                                                                                  OpenAI's GPT-3 language model has been making waves in the AI community since it was released last year, and in the last quarter, it has continued to make impressive advancements. OpenAI announced that it had created a new version of GPT-3 that was capable of generating coherent and consistent multi-paragraph texts, a significant improvement over the previous version. This development has enormous implications for the future of natural language processing and AI-generated content.<\/p>\n\n\n\n

                                                                                                                                                    \n
                                                                                                                                                  1. Nuro: Autonomous Delivery Vehicles<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                                                                                    Nuro, a robotics company that specializes in autonomous delivery vehicles, has continued to expand its operations in the last quarter. The startup has partnered with a number of major retailers and grocery stores to provide autonomous delivery services in various cities across the United States. Nuro's technology has the potential to revolutionize the logistics industry and could help to reduce transportation-related emissions in the future.<\/p>\n\n\n\n

                                                                                                                                                      \n
                                                                                                                                                    1. Freenome: Cancer Screening Breakthroughs<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                                                                                      Freenome, a healthcare startup that uses AI to develop non-invasive cancer screening tests, has made significant strides in the last quarter. The company announced that it had made major advancements in its ability to detect early-stage cancers using a simple blood test. This development has the potential to transform cancer screening and could help to save countless lives in the future.<\/p>\n\n\n\n

                                                                                                                                                        \n
                                                                                                                                                      1. ChatGPT: Conversational AI Advancements<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                                                                                        ChatGPT, an AI language model trained by OpenAI, has continued to make progress in the last quarter. The model has been used in a variety of applications, from chatbots to content creation, and has been praised for its ability to generate high-quality and natural-sounding language. In the last quarter, ChatGPT made significant advancements in its ability to understand and respond to complex questions and requests, bringing us one step closer to the development of truly intelligent conversational agents.<\/p>\n\n\n\n

                                                                                                                                                          \n
                                                                                                                                                        1. Zest AI: Fairness in Credit Scoring<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                                                                                          Zest AI, a machine learning platform that specializes in credit underwriting and risk assessment for financial institutions, has made important strides in the last quarter towards developing more fair and equitable credit scoring models. The company announced that it had created a new algorithm that significantly reduces the impact of race, gender, and other demographic factors on credit scores, making the process more inclusive and unbiased.<\/p>\n\n\n\n

                                                                                                                                                          In conclusion, the last quarter has been an exciting time for AI startups, as they continue to make impressive advancements in the field. From OpenAI's GPT-3 language model to Nuro's autonomous delivery vehicles, these startups are pushing the boundaries of what is possible with AI, and paving the way for new applications and innovations.<\/p>\n\n\n\n

                                                                                                                                                          As AI continues to play an increasingly important role in our lives and society, these startups will undoubtedly play a key role in shaping its future. By developing more accurate and efficient models, expanding their operations, and pushing for greater fairness and inclusivity, these startups are setting a high bar for the industry as a whole.<\/p>\n\n\n\n

                                                                                                                                                          Whether it's in healthcare, logistics, finance, or any other industry, the potential applications of AI are endless. And with the continued progress and innovation of these top startups, we can be confident that we are moving ever closer to a future where AI plays a central role in driving progress and improving our lives.<\/p>\n","post_title":"Huge AI Step in Last Quarter: Exciting Developments from Top AI Startups","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"huge-ai-step-in-last-quarter","to_ping":"","pinged":"","post_modified":"2023-05-11 13:08:34","post_modified_gmt":"2023-05-11 20:08:34","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/?p=9606","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":744,"post_author":"1","post_date":"2018-05-07 23:21:00","post_date_gmt":"2018-05-08 06:21:00","post_content":"\n

                                                                                                                                                          Corporations don\u2019t have five to ten years to waste developing a product that no one wants. Instead of building a plan and following it without question, companies should focus on implementing ideas quickly to determine whether they are good enough to spend more resources on. That\u2019s where the lean startup method comes in to jumpstart corporate innovation strategies.<\/p>\n\n\n\n

                                                                                                                                                          The lean startup method takes ideas around lean manufacturing and applies them to the process of innovation. Instead of using a business plan as a prediction of the future, a company turns the business plan into a series of hypotheses, such as what customers do or don\u2019t want, and then quickly performs experiments to test these hypotheses.<\/p>\n\n\n\n

                                                                                                                                                          In order to test hypotheses, companies create a minimum viable product. A minimum viable product is a scaled down version of an expansive vision of a product that can be delivered quickly and inexpensively. A minimum viable product allows companies to rapidly test ideas and determine whether or not they work in order to change directions without investing too many resources.<\/p>\n\n\n\n

                                                                                                                                                          Eric Ries, author of The Lean Startup<\/i>, presents five principles of the lean startup method.<\/p>\n\n\n\n

                                                                                                                                                          5 Principles of the Lean Startup Method:<\/p>\n\n\n\n

                                                                                                                                                          1. Entrepreneurs are everywhere<\/li>
                                                                                                                                                          2. Entrepreneurship is management<\/li>
                                                                                                                                                          3. Validated learning<\/li>
                                                                                                                                                          4. Build-Measure-Learn<\/li>
                                                                                                                                                          5. Innovation accounting<\/li><\/ol>\n\n\n\n

                                                                                                                                                            What do these lean startup principles mean for corporations?<\/p>\n\n\n\n

                                                                                                                                                            1. Entrepreneurs are everywhere<\/strong><\/h2>\n\n\n\n

                                                                                                                                                            A modern company sees the creativity and talent of every employee as a precious resource. In order to leverage its entrepreneurs, a modern company needs to address all employees as entrepreneurs. Why? One, because we never know who the entrepreneurs are. Two, because most ideas are bad. If everyone can contribute ideas, companies have a greater chance of finding a good idea. But there needs to be a process as a company can\u2019t implement every idea, even with a lean startup strategy.<\/p>\n\n\n\n

                                                                                                                                                            2. Entrepreneurship is management<\/strong><\/h2>\n\n\n\n

                                                                                                                                                            Eric Ries defines a startup as \u201ca human institution designed to create new products and services under conditions of extreme uncertainty.\u201d A startup is an experiment. Any size company can perform experiments. The key is to have a strategy when meeting failure. That is to pivot. When a company pivots, they stay grounded in what they\u2019ve learned and change directions. Since time is money, the path to success is reducing the amount of time between pivots.<\/p>\n\n\n\n

                                                                                                                                                            3. Validated learning<\/strong><\/h2>\n\n\n\n

                                                                                                                                                            Companies should move from simply making stuff to validated learning. With validated learning the unit of measurement is not how far along the team is on adding features, but how far along the company is on learning who they\u2019re customers are and what their customers need. As William Edwards Deming, an American engineer, said, \u201cThe customer is the most important part of the production line.\u201d Teams must rigorously assess whether they are learning how to build a sustainable business. And a sustainable business is one that first understands the customer\u2019s needs.<\/p>\n\n\n\n

                                                                                                                                                            4. Build-Measure-Learn<\/strong><\/h2>\n\n\n\n

                                                                                                                                                            The question is not whether a product can be built but whether it should be built. Companies can build things very efficiently that nobody wants. The build-measure-learn cycle involves turning ideas into products quickly, measuring how customers respond, and then learning whether or not to pivot or persevere. A minimum viable product only needs to include features necessary to learn what customers want.<\/p>\n\n\n\n

                                                                                                                                                            5. Innovation accounting<\/strong><\/h2>\n\n\n\n

                                                                                                                                                            Entrepreneurs need to be held accountable, but to a different set of metrics. Instead of having product milestones, innovators should have learning milestones. A measurable metric for learning is customer behavior. Product development focuses on improvement in customer retention instead of product sales. With learning milestones, companies give themselves a timeframe to meet a customer behavior baseline and choose whether or not to pivot.<\/p>\n","post_title":"A Competitive Edge for Corporations: The Lean Startup Method and Innovation","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation","to_ping":"","pinged":"","post_modified":"2019-12-27 20:45:15","post_modified_gmt":"2019-12-28 04:45:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/blog\/a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation\/","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"prev":false,"total_page":1},"paged":1,"column_class":"jeg_col_2o3","class":"epic_block_5"};

                                                                                                                                                            Search

                                                                                                                                                            Latest

                                                                                                                                                            \n
                                                                                                                                                          6. McKinsey & Company: McKinsey Digital: Insights on Cloud Trends<\/a><\/li>\n\n\n\n
                                                                                                                                                          7. Forbes: Forbes Insights: The Rise of Industry Cloud Platforms<\/a><\/li>\n\n\n\n
                                                                                                                                                          8. Deloitte: Deloitte Cloud Trends: Industry Outlook<\/a><\/li>\n<\/ul>\n","post_title":"Glimpsing Tomorrow: Future Trends in Industry Cloud Platforms","post_excerpt":"Glimpsing Tomorrow: Future Trends in Industry Cloud Platforms","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"glimpsing-tomorrow-future-trends-in-industry-cloud-platforms","to_ping":"","pinged":"","post_modified":"2024-02-06 12:51:19","post_modified_gmt":"2024-02-06 20:51:19","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/?p=10075","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":9606,"post_author":"6","post_date":"2023-05-09 15:15:58","post_date_gmt":"2023-05-09 22:15:58","post_content":"\n

                                                                                                                                                            Artificial intelligence (AI) is continuing to make significant strides forward, and in the last quarter, a number of top startups have made major breakthroughs in the field. From advancements in natural language processing to new applications for machine learning, these startups are leading the charge in AI innovation. Here are some of the most exciting developments from the last quarter:<\/p><\/blockquote><\/figure>\n\n\n\n

                                                                                                                                                              \n
                                                                                                                                                            1. OpenAI: GPT-3 Advances<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                                                                                              OpenAI's GPT-3 language model has been making waves in the AI community since it was released last year, and in the last quarter, it has continued to make impressive advancements. OpenAI announced that it had created a new version of GPT-3 that was capable of generating coherent and consistent multi-paragraph texts, a significant improvement over the previous version. This development has enormous implications for the future of natural language processing and AI-generated content.<\/p>\n\n\n\n

                                                                                                                                                                \n
                                                                                                                                                              1. Nuro: Autonomous Delivery Vehicles<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                                                                                                Nuro, a robotics company that specializes in autonomous delivery vehicles, has continued to expand its operations in the last quarter. The startup has partnered with a number of major retailers and grocery stores to provide autonomous delivery services in various cities across the United States. Nuro's technology has the potential to revolutionize the logistics industry and could help to reduce transportation-related emissions in the future.<\/p>\n\n\n\n

                                                                                                                                                                  \n
                                                                                                                                                                1. Freenome: Cancer Screening Breakthroughs<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                                                                                                  Freenome, a healthcare startup that uses AI to develop non-invasive cancer screening tests, has made significant strides in the last quarter. The company announced that it had made major advancements in its ability to detect early-stage cancers using a simple blood test. This development has the potential to transform cancer screening and could help to save countless lives in the future.<\/p>\n\n\n\n

                                                                                                                                                                    \n
                                                                                                                                                                  1. ChatGPT: Conversational AI Advancements<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                                                                                                    ChatGPT, an AI language model trained by OpenAI, has continued to make progress in the last quarter. The model has been used in a variety of applications, from chatbots to content creation, and has been praised for its ability to generate high-quality and natural-sounding language. In the last quarter, ChatGPT made significant advancements in its ability to understand and respond to complex questions and requests, bringing us one step closer to the development of truly intelligent conversational agents.<\/p>\n\n\n\n

                                                                                                                                                                      \n
                                                                                                                                                                    1. Zest AI: Fairness in Credit Scoring<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                                                                                                      Zest AI, a machine learning platform that specializes in credit underwriting and risk assessment for financial institutions, has made important strides in the last quarter towards developing more fair and equitable credit scoring models. The company announced that it had created a new algorithm that significantly reduces the impact of race, gender, and other demographic factors on credit scores, making the process more inclusive and unbiased.<\/p>\n\n\n\n

                                                                                                                                                                      In conclusion, the last quarter has been an exciting time for AI startups, as they continue to make impressive advancements in the field. From OpenAI's GPT-3 language model to Nuro's autonomous delivery vehicles, these startups are pushing the boundaries of what is possible with AI, and paving the way for new applications and innovations.<\/p>\n\n\n\n

                                                                                                                                                                      As AI continues to play an increasingly important role in our lives and society, these startups will undoubtedly play a key role in shaping its future. By developing more accurate and efficient models, expanding their operations, and pushing for greater fairness and inclusivity, these startups are setting a high bar for the industry as a whole.<\/p>\n\n\n\n

                                                                                                                                                                      Whether it's in healthcare, logistics, finance, or any other industry, the potential applications of AI are endless. And with the continued progress and innovation of these top startups, we can be confident that we are moving ever closer to a future where AI plays a central role in driving progress and improving our lives.<\/p>\n","post_title":"Huge AI Step in Last Quarter: Exciting Developments from Top AI Startups","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"huge-ai-step-in-last-quarter","to_ping":"","pinged":"","post_modified":"2023-05-11 13:08:34","post_modified_gmt":"2023-05-11 20:08:34","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/?p=9606","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":744,"post_author":"1","post_date":"2018-05-07 23:21:00","post_date_gmt":"2018-05-08 06:21:00","post_content":"\n

                                                                                                                                                                      Corporations don\u2019t have five to ten years to waste developing a product that no one wants. Instead of building a plan and following it without question, companies should focus on implementing ideas quickly to determine whether they are good enough to spend more resources on. That\u2019s where the lean startup method comes in to jumpstart corporate innovation strategies.<\/p>\n\n\n\n

                                                                                                                                                                      The lean startup method takes ideas around lean manufacturing and applies them to the process of innovation. Instead of using a business plan as a prediction of the future, a company turns the business plan into a series of hypotheses, such as what customers do or don\u2019t want, and then quickly performs experiments to test these hypotheses.<\/p>\n\n\n\n

                                                                                                                                                                      In order to test hypotheses, companies create a minimum viable product. A minimum viable product is a scaled down version of an expansive vision of a product that can be delivered quickly and inexpensively. A minimum viable product allows companies to rapidly test ideas and determine whether or not they work in order to change directions without investing too many resources.<\/p>\n\n\n\n

                                                                                                                                                                      Eric Ries, author of The Lean Startup<\/i>, presents five principles of the lean startup method.<\/p>\n\n\n\n

                                                                                                                                                                      5 Principles of the Lean Startup Method:<\/p>\n\n\n\n

                                                                                                                                                                      1. Entrepreneurs are everywhere<\/li>
                                                                                                                                                                      2. Entrepreneurship is management<\/li>
                                                                                                                                                                      3. Validated learning<\/li>
                                                                                                                                                                      4. Build-Measure-Learn<\/li>
                                                                                                                                                                      5. Innovation accounting<\/li><\/ol>\n\n\n\n

                                                                                                                                                                        What do these lean startup principles mean for corporations?<\/p>\n\n\n\n

                                                                                                                                                                        1. Entrepreneurs are everywhere<\/strong><\/h2>\n\n\n\n

                                                                                                                                                                        A modern company sees the creativity and talent of every employee as a precious resource. In order to leverage its entrepreneurs, a modern company needs to address all employees as entrepreneurs. Why? One, because we never know who the entrepreneurs are. Two, because most ideas are bad. If everyone can contribute ideas, companies have a greater chance of finding a good idea. But there needs to be a process as a company can\u2019t implement every idea, even with a lean startup strategy.<\/p>\n\n\n\n

                                                                                                                                                                        2. Entrepreneurship is management<\/strong><\/h2>\n\n\n\n

                                                                                                                                                                        Eric Ries defines a startup as \u201ca human institution designed to create new products and services under conditions of extreme uncertainty.\u201d A startup is an experiment. Any size company can perform experiments. The key is to have a strategy when meeting failure. That is to pivot. When a company pivots, they stay grounded in what they\u2019ve learned and change directions. Since time is money, the path to success is reducing the amount of time between pivots.<\/p>\n\n\n\n

                                                                                                                                                                        3. Validated learning<\/strong><\/h2>\n\n\n\n

                                                                                                                                                                        Companies should move from simply making stuff to validated learning. With validated learning the unit of measurement is not how far along the team is on adding features, but how far along the company is on learning who they\u2019re customers are and what their customers need. As William Edwards Deming, an American engineer, said, \u201cThe customer is the most important part of the production line.\u201d Teams must rigorously assess whether they are learning how to build a sustainable business. And a sustainable business is one that first understands the customer\u2019s needs.<\/p>\n\n\n\n

                                                                                                                                                                        4. Build-Measure-Learn<\/strong><\/h2>\n\n\n\n

                                                                                                                                                                        The question is not whether a product can be built but whether it should be built. Companies can build things very efficiently that nobody wants. The build-measure-learn cycle involves turning ideas into products quickly, measuring how customers respond, and then learning whether or not to pivot or persevere. A minimum viable product only needs to include features necessary to learn what customers want.<\/p>\n\n\n\n

                                                                                                                                                                        5. Innovation accounting<\/strong><\/h2>\n\n\n\n

                                                                                                                                                                        Entrepreneurs need to be held accountable, but to a different set of metrics. Instead of having product milestones, innovators should have learning milestones. A measurable metric for learning is customer behavior. Product development focuses on improvement in customer retention instead of product sales. With learning milestones, companies give themselves a timeframe to meet a customer behavior baseline and choose whether or not to pivot.<\/p>\n","post_title":"A Competitive Edge for Corporations: The Lean Startup Method and Innovation","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation","to_ping":"","pinged":"","post_modified":"2019-12-27 20:45:15","post_modified_gmt":"2019-12-28 04:45:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/blog\/a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation\/","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"prev":false,"total_page":1},"paged":1,"column_class":"jeg_col_2o3","class":"epic_block_5"};

                                                                                                                                                                        Search

                                                                                                                                                                        Latest

                                                                                                                                                                        \n
                                                                                                                                                                      6. IDC: IDC FutureScape: Worldwide IT Industry 2022 Predictions<\/a><\/li>\n\n\n\n
                                                                                                                                                                      7. McKinsey & Company: McKinsey Digital: Insights on Cloud Trends<\/a><\/li>\n\n\n\n
                                                                                                                                                                      8. Forbes: Forbes Insights: The Rise of Industry Cloud Platforms<\/a><\/li>\n\n\n\n
                                                                                                                                                                      9. Deloitte: Deloitte Cloud Trends: Industry Outlook<\/a><\/li>\n<\/ul>\n","post_title":"Glimpsing Tomorrow: Future Trends in Industry Cloud Platforms","post_excerpt":"Glimpsing Tomorrow: Future Trends in Industry Cloud Platforms","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"glimpsing-tomorrow-future-trends-in-industry-cloud-platforms","to_ping":"","pinged":"","post_modified":"2024-02-06 12:51:19","post_modified_gmt":"2024-02-06 20:51:19","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/?p=10075","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":9606,"post_author":"6","post_date":"2023-05-09 15:15:58","post_date_gmt":"2023-05-09 22:15:58","post_content":"\n

                                                                                                                                                                        Artificial intelligence (AI) is continuing to make significant strides forward, and in the last quarter, a number of top startups have made major breakthroughs in the field. From advancements in natural language processing to new applications for machine learning, these startups are leading the charge in AI innovation. Here are some of the most exciting developments from the last quarter:<\/p><\/blockquote><\/figure>\n\n\n\n

                                                                                                                                                                          \n
                                                                                                                                                                        1. OpenAI: GPT-3 Advances<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                                                                                                          OpenAI's GPT-3 language model has been making waves in the AI community since it was released last year, and in the last quarter, it has continued to make impressive advancements. OpenAI announced that it had created a new version of GPT-3 that was capable of generating coherent and consistent multi-paragraph texts, a significant improvement over the previous version. This development has enormous implications for the future of natural language processing and AI-generated content.<\/p>\n\n\n\n

                                                                                                                                                                            \n
                                                                                                                                                                          1. Nuro: Autonomous Delivery Vehicles<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                                                                                                            Nuro, a robotics company that specializes in autonomous delivery vehicles, has continued to expand its operations in the last quarter. The startup has partnered with a number of major retailers and grocery stores to provide autonomous delivery services in various cities across the United States. Nuro's technology has the potential to revolutionize the logistics industry and could help to reduce transportation-related emissions in the future.<\/p>\n\n\n\n

                                                                                                                                                                              \n
                                                                                                                                                                            1. Freenome: Cancer Screening Breakthroughs<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                                                                                                              Freenome, a healthcare startup that uses AI to develop non-invasive cancer screening tests, has made significant strides in the last quarter. The company announced that it had made major advancements in its ability to detect early-stage cancers using a simple blood test. This development has the potential to transform cancer screening and could help to save countless lives in the future.<\/p>\n\n\n\n

                                                                                                                                                                                \n
                                                                                                                                                                              1. ChatGPT: Conversational AI Advancements<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                                                                                                                ChatGPT, an AI language model trained by OpenAI, has continued to make progress in the last quarter. The model has been used in a variety of applications, from chatbots to content creation, and has been praised for its ability to generate high-quality and natural-sounding language. In the last quarter, ChatGPT made significant advancements in its ability to understand and respond to complex questions and requests, bringing us one step closer to the development of truly intelligent conversational agents.<\/p>\n\n\n\n

                                                                                                                                                                                  \n
                                                                                                                                                                                1. Zest AI: Fairness in Credit Scoring<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                                                                                                                  Zest AI, a machine learning platform that specializes in credit underwriting and risk assessment for financial institutions, has made important strides in the last quarter towards developing more fair and equitable credit scoring models. The company announced that it had created a new algorithm that significantly reduces the impact of race, gender, and other demographic factors on credit scores, making the process more inclusive and unbiased.<\/p>\n\n\n\n

                                                                                                                                                                                  In conclusion, the last quarter has been an exciting time for AI startups, as they continue to make impressive advancements in the field. From OpenAI's GPT-3 language model to Nuro's autonomous delivery vehicles, these startups are pushing the boundaries of what is possible with AI, and paving the way for new applications and innovations.<\/p>\n\n\n\n

                                                                                                                                                                                  As AI continues to play an increasingly important role in our lives and society, these startups will undoubtedly play a key role in shaping its future. By developing more accurate and efficient models, expanding their operations, and pushing for greater fairness and inclusivity, these startups are setting a high bar for the industry as a whole.<\/p>\n\n\n\n

                                                                                                                                                                                  Whether it's in healthcare, logistics, finance, or any other industry, the potential applications of AI are endless. And with the continued progress and innovation of these top startups, we can be confident that we are moving ever closer to a future where AI plays a central role in driving progress and improving our lives.<\/p>\n","post_title":"Huge AI Step in Last Quarter: Exciting Developments from Top AI Startups","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"huge-ai-step-in-last-quarter","to_ping":"","pinged":"","post_modified":"2023-05-11 13:08:34","post_modified_gmt":"2023-05-11 20:08:34","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/?p=9606","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":744,"post_author":"1","post_date":"2018-05-07 23:21:00","post_date_gmt":"2018-05-08 06:21:00","post_content":"\n

                                                                                                                                                                                  Corporations don\u2019t have five to ten years to waste developing a product that no one wants. Instead of building a plan and following it without question, companies should focus on implementing ideas quickly to determine whether they are good enough to spend more resources on. That\u2019s where the lean startup method comes in to jumpstart corporate innovation strategies.<\/p>\n\n\n\n

                                                                                                                                                                                  The lean startup method takes ideas around lean manufacturing and applies them to the process of innovation. Instead of using a business plan as a prediction of the future, a company turns the business plan into a series of hypotheses, such as what customers do or don\u2019t want, and then quickly performs experiments to test these hypotheses.<\/p>\n\n\n\n

                                                                                                                                                                                  In order to test hypotheses, companies create a minimum viable product. A minimum viable product is a scaled down version of an expansive vision of a product that can be delivered quickly and inexpensively. A minimum viable product allows companies to rapidly test ideas and determine whether or not they work in order to change directions without investing too many resources.<\/p>\n\n\n\n

                                                                                                                                                                                  Eric Ries, author of The Lean Startup<\/i>, presents five principles of the lean startup method.<\/p>\n\n\n\n

                                                                                                                                                                                  5 Principles of the Lean Startup Method:<\/p>\n\n\n\n

                                                                                                                                                                                  1. Entrepreneurs are everywhere<\/li>
                                                                                                                                                                                  2. Entrepreneurship is management<\/li>
                                                                                                                                                                                  3. Validated learning<\/li>
                                                                                                                                                                                  4. Build-Measure-Learn<\/li>
                                                                                                                                                                                  5. Innovation accounting<\/li><\/ol>\n\n\n\n

                                                                                                                                                                                    What do these lean startup principles mean for corporations?<\/p>\n\n\n\n

                                                                                                                                                                                    1. Entrepreneurs are everywhere<\/strong><\/h2>\n\n\n\n

                                                                                                                                                                                    A modern company sees the creativity and talent of every employee as a precious resource. In order to leverage its entrepreneurs, a modern company needs to address all employees as entrepreneurs. Why? One, because we never know who the entrepreneurs are. Two, because most ideas are bad. If everyone can contribute ideas, companies have a greater chance of finding a good idea. But there needs to be a process as a company can\u2019t implement every idea, even with a lean startup strategy.<\/p>\n\n\n\n

                                                                                                                                                                                    2. Entrepreneurship is management<\/strong><\/h2>\n\n\n\n

                                                                                                                                                                                    Eric Ries defines a startup as \u201ca human institution designed to create new products and services under conditions of extreme uncertainty.\u201d A startup is an experiment. Any size company can perform experiments. The key is to have a strategy when meeting failure. That is to pivot. When a company pivots, they stay grounded in what they\u2019ve learned and change directions. Since time is money, the path to success is reducing the amount of time between pivots.<\/p>\n\n\n\n

                                                                                                                                                                                    3. Validated learning<\/strong><\/h2>\n\n\n\n

                                                                                                                                                                                    Companies should move from simply making stuff to validated learning. With validated learning the unit of measurement is not how far along the team is on adding features, but how far along the company is on learning who they\u2019re customers are and what their customers need. As William Edwards Deming, an American engineer, said, \u201cThe customer is the most important part of the production line.\u201d Teams must rigorously assess whether they are learning how to build a sustainable business. And a sustainable business is one that first understands the customer\u2019s needs.<\/p>\n\n\n\n

                                                                                                                                                                                    4. Build-Measure-Learn<\/strong><\/h2>\n\n\n\n

                                                                                                                                                                                    The question is not whether a product can be built but whether it should be built. Companies can build things very efficiently that nobody wants. The build-measure-learn cycle involves turning ideas into products quickly, measuring how customers respond, and then learning whether or not to pivot or persevere. A minimum viable product only needs to include features necessary to learn what customers want.<\/p>\n\n\n\n

                                                                                                                                                                                    5. Innovation accounting<\/strong><\/h2>\n\n\n\n

                                                                                                                                                                                    Entrepreneurs need to be held accountable, but to a different set of metrics. Instead of having product milestones, innovators should have learning milestones. A measurable metric for learning is customer behavior. Product development focuses on improvement in customer retention instead of product sales. With learning milestones, companies give themselves a timeframe to meet a customer behavior baseline and choose whether or not to pivot.<\/p>\n","post_title":"A Competitive Edge for Corporations: The Lean Startup Method and Innovation","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation","to_ping":"","pinged":"","post_modified":"2019-12-27 20:45:15","post_modified_gmt":"2019-12-28 04:45:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/blog\/a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation\/","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"prev":false,"total_page":1},"paged":1,"column_class":"jeg_col_2o3","class":"epic_block_5"};

                                                                                                                                                                                    Search

                                                                                                                                                                                    Latest

                                                                                                                                                                                    \n
                                                                                                                                                                                  6. Gartner: Gartner Top 10 Strategic Technology Trends for 2022<\/a><\/li>\n\n\n\n
                                                                                                                                                                                  7. IDC: IDC FutureScape: Worldwide IT Industry 2022 Predictions<\/a><\/li>\n\n\n\n
                                                                                                                                                                                  8. McKinsey & Company: McKinsey Digital: Insights on Cloud Trends<\/a><\/li>\n\n\n\n
                                                                                                                                                                                  9. Forbes: Forbes Insights: The Rise of Industry Cloud Platforms<\/a><\/li>\n\n\n\n
                                                                                                                                                                                  10. Deloitte: Deloitte Cloud Trends: Industry Outlook<\/a><\/li>\n<\/ul>\n","post_title":"Glimpsing Tomorrow: Future Trends in Industry Cloud Platforms","post_excerpt":"Glimpsing Tomorrow: Future Trends in Industry Cloud Platforms","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"glimpsing-tomorrow-future-trends-in-industry-cloud-platforms","to_ping":"","pinged":"","post_modified":"2024-02-06 12:51:19","post_modified_gmt":"2024-02-06 20:51:19","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/?p=10075","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":9606,"post_author":"6","post_date":"2023-05-09 15:15:58","post_date_gmt":"2023-05-09 22:15:58","post_content":"\n

                                                                                                                                                                                    Artificial intelligence (AI) is continuing to make significant strides forward, and in the last quarter, a number of top startups have made major breakthroughs in the field. From advancements in natural language processing to new applications for machine learning, these startups are leading the charge in AI innovation. Here are some of the most exciting developments from the last quarter:<\/p><\/blockquote><\/figure>\n\n\n\n

                                                                                                                                                                                      \n
                                                                                                                                                                                    1. OpenAI: GPT-3 Advances<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                                                                                                                      OpenAI's GPT-3 language model has been making waves in the AI community since it was released last year, and in the last quarter, it has continued to make impressive advancements. OpenAI announced that it had created a new version of GPT-3 that was capable of generating coherent and consistent multi-paragraph texts, a significant improvement over the previous version. This development has enormous implications for the future of natural language processing and AI-generated content.<\/p>\n\n\n\n

                                                                                                                                                                                        \n
                                                                                                                                                                                      1. Nuro: Autonomous Delivery Vehicles<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                                                                                                                        Nuro, a robotics company that specializes in autonomous delivery vehicles, has continued to expand its operations in the last quarter. The startup has partnered with a number of major retailers and grocery stores to provide autonomous delivery services in various cities across the United States. Nuro's technology has the potential to revolutionize the logistics industry and could help to reduce transportation-related emissions in the future.<\/p>\n\n\n\n

                                                                                                                                                                                          \n
                                                                                                                                                                                        1. Freenome: Cancer Screening Breakthroughs<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                                                                                                                          Freenome, a healthcare startup that uses AI to develop non-invasive cancer screening tests, has made significant strides in the last quarter. The company announced that it had made major advancements in its ability to detect early-stage cancers using a simple blood test. This development has the potential to transform cancer screening and could help to save countless lives in the future.<\/p>\n\n\n\n

                                                                                                                                                                                            \n
                                                                                                                                                                                          1. ChatGPT: Conversational AI Advancements<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                                                                                                                            ChatGPT, an AI language model trained by OpenAI, has continued to make progress in the last quarter. The model has been used in a variety of applications, from chatbots to content creation, and has been praised for its ability to generate high-quality and natural-sounding language. In the last quarter, ChatGPT made significant advancements in its ability to understand and respond to complex questions and requests, bringing us one step closer to the development of truly intelligent conversational agents.<\/p>\n\n\n\n

                                                                                                                                                                                              \n
                                                                                                                                                                                            1. Zest AI: Fairness in Credit Scoring<\/a><\/li>\n<\/ol>\n\n\n\n

                                                                                                                                                                                              Zest AI, a machine learning platform that specializes in credit underwriting and risk assessment for financial institutions, has made important strides in the last quarter towards developing more fair and equitable credit scoring models. The company announced that it had created a new algorithm that significantly reduces the impact of race, gender, and other demographic factors on credit scores, making the process more inclusive and unbiased.<\/p>\n\n\n\n

                                                                                                                                                                                              In conclusion, the last quarter has been an exciting time for AI startups, as they continue to make impressive advancements in the field. From OpenAI's GPT-3 language model to Nuro's autonomous delivery vehicles, these startups are pushing the boundaries of what is possible with AI, and paving the way for new applications and innovations.<\/p>\n\n\n\n

                                                                                                                                                                                              As AI continues to play an increasingly important role in our lives and society, these startups will undoubtedly play a key role in shaping its future. By developing more accurate and efficient models, expanding their operations, and pushing for greater fairness and inclusivity, these startups are setting a high bar for the industry as a whole.<\/p>\n\n\n\n

                                                                                                                                                                                              Whether it's in healthcare, logistics, finance, or any other industry, the potential applications of AI are endless. And with the continued progress and innovation of these top startups, we can be confident that we are moving ever closer to a future where AI plays a central role in driving progress and improving our lives.<\/p>\n","post_title":"Huge AI Step in Last Quarter: Exciting Developments from Top AI Startups","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"huge-ai-step-in-last-quarter","to_ping":"","pinged":"","post_modified":"2023-05-11 13:08:34","post_modified_gmt":"2023-05-11 20:08:34","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/?p=9606","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":744,"post_author":"1","post_date":"2018-05-07 23:21:00","post_date_gmt":"2018-05-08 06:21:00","post_content":"\n

                                                                                                                                                                                              Corporations don\u2019t have five to ten years to waste developing a product that no one wants. Instead of building a plan and following it without question, companies should focus on implementing ideas quickly to determine whether they are good enough to spend more resources on. That\u2019s where the lean startup method comes in to jumpstart corporate innovation strategies.<\/p>\n\n\n\n

                                                                                                                                                                                              The lean startup method takes ideas around lean manufacturing and applies them to the process of innovation. Instead of using a business plan as a prediction of the future, a company turns the business plan into a series of hypotheses, such as what customers do or don\u2019t want, and then quickly performs experiments to test these hypotheses.<\/p>\n\n\n\n

                                                                                                                                                                                              In order to test hypotheses, companies create a minimum viable product. A minimum viable product is a scaled down version of an expansive vision of a product that can be delivered quickly and inexpensively. A minimum viable product allows companies to rapidly test ideas and determine whether or not they work in order to change directions without investing too many resources.<\/p>\n\n\n\n

                                                                                                                                                                                              Eric Ries, author of The Lean Startup<\/i>, presents five principles of the lean startup method.<\/p>\n\n\n\n

                                                                                                                                                                                              5 Principles of the Lean Startup Method:<\/p>\n\n\n\n

                                                                                                                                                                                              1. Entrepreneurs are everywhere<\/li>
                                                                                                                                                                                              2. Entrepreneurship is management<\/li>
                                                                                                                                                                                              3. Validated learning<\/li>
                                                                                                                                                                                              4. Build-Measure-Learn<\/li>
                                                                                                                                                                                              5. Innovation accounting<\/li><\/ol>\n\n\n\n

                                                                                                                                                                                                What do these lean startup principles mean for corporations?<\/p>\n\n\n\n

                                                                                                                                                                                                1. Entrepreneurs are everywhere<\/strong><\/h2>\n\n\n\n

                                                                                                                                                                                                A modern company sees the creativity and talent of every employee as a precious resource. In order to leverage its entrepreneurs, a modern company needs to address all employees as entrepreneurs. Why? One, because we never know who the entrepreneurs are. Two, because most ideas are bad. If everyone can contribute ideas, companies have a greater chance of finding a good idea. But there needs to be a process as a company can\u2019t implement every idea, even with a lean startup strategy.<\/p>\n\n\n\n

                                                                                                                                                                                                2. Entrepreneurship is management<\/strong><\/h2>\n\n\n\n

                                                                                                                                                                                                Eric Ries defines a startup as \u201ca human institution designed to create new products and services under conditions of extreme uncertainty.\u201d A startup is an experiment. Any size company can perform experiments. The key is to have a strategy when meeting failure. That is to pivot. When a company pivots, they stay grounded in what they\u2019ve learned and change directions. Since time is money, the path to success is reducing the amount of time between pivots.<\/p>\n\n\n\n

                                                                                                                                                                                                3. Validated learning<\/strong><\/h2>\n\n\n\n

                                                                                                                                                                                                Companies should move from simply making stuff to validated learning. With validated learning the unit of measurement is not how far along the team is on adding features, but how far along the company is on learning who they\u2019re customers are and what their customers need. As William Edwards Deming, an American engineer, said, \u201cThe customer is the most important part of the production line.\u201d Teams must rigorously assess whether they are learning how to build a sustainable business. And a sustainable business is one that first understands the customer\u2019s needs.<\/p>\n\n\n\n

                                                                                                                                                                                                4. Build-Measure-Learn<\/strong><\/h2>\n\n\n\n

                                                                                                                                                                                                The question is not whether a product can be built but whether it should be built. Companies can build things very efficiently that nobody wants. The build-measure-learn cycle involves turning ideas into products quickly, measuring how customers respond, and then learning whether or not to pivot or persevere. A minimum viable product only needs to include features necessary to learn what customers want.<\/p>\n\n\n\n

                                                                                                                                                                                                5. Innovation accounting<\/strong><\/h2>\n\n\n\n

                                                                                                                                                                                                Entrepreneurs need to be held accountable, but to a different set of metrics. Instead of having product milestones, innovators should have learning milestones. A measurable metric for learning is customer behavior. Product development focuses on improvement in customer retention instead of product sales. With learning milestones, companies give themselves a timeframe to meet a customer behavior baseline and choose whether or not to pivot.<\/p>\n","post_title":"A Competitive Edge for Corporations: The Lean Startup Method and Innovation","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation","to_ping":"","pinged":"","post_modified":"2019-12-27 20:45:15","post_modified_gmt":"2019-12-28 04:45:15","post_content_filtered":"","post_parent":0,"guid":"https:\/\/siliconvalley.center\/blog\/a-competitive-edge-for-corporations-the-lean-startup-method-and-innovation\/","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"prev":false,"total_page":1},"paged":1,"column_class":"jeg_col_2o3","class":"epic_block_5"};

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