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Shoeisha Co., Ltd.

Address 5 Funamachi Shinjuku-ku Tokyo, JAPAN ZIP:160-0006
Representative Name Kaoru Usui
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No. of Employees 185
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Fundamentally change the rules of product*service creation

ChatGPT reached 100 million users within 2 months of its release. Now it is becoming impossible to think of business without generative AI.

[How will the industry change?]
[Do we need to rethink our business model?]
[Will any new business be lucrative?]
[How can we integrate generative AI into our business?]

These questions will be answered with over 150 real-life examples from Silicon Valley and a practical framework.

In addition, the book provides a detailed explanation of how to create a generative AI product, covering everything from MVP creation, UX design, business model, PMF (product market fit), growth metrics, pricing strategy, and competitive strategy.

This book is a must-read for
*Managers and decision makers involved in product development and operations
*Project managers, engineers, and designers of new businesses
*Businesspeople working in startups
*Managers and corporate planners involved in business management

[Table of Contents Summary]
Part I. Overview of Generating AI
Chapter 1: Fundamentals of the AI Revolution
Chapter 2 Super Power of Generative AI
Chapter 3: Technology Infrastructure and Industry Structure
Chapter 4: Diversity of Applications
Chapter 5 Possibilities and Limitations

Part II How to Create Generative AI Products
Chapter 6: Segmenting Customers
Chapter 7: MVP Creation and Product Design
Chapter 8: Seven Principles of Product Creation and UX Design
Chapter 9: Prompting Techniques for Refining Products
Chapter 10 AI Ethics Guiding Principles
Chapter 11: Business Models and the Path to PMF
Chapter 12 Product Growth Indicators
Chapter 13 GTM and Pricing Strategies
Chapter 14 Three Growth Strategies
Chapter 15 Differentiation and Barriers to Entry

Part III Building Product Careers in the AI Era
Chapter 16 Changing Product Manager Work Styles
Chapter 17 Product Management and Career Update

Appendix 1 Basic Terms for Understanding AI
Appendix 2 Detailed Process and Methods for Hypothesis Testing

SD item code:12973912

Detail Price & Quantity
S1
Sibby*Shee, Caitlin*Kai, Ewen*Long Original text Haruki Sonehara Translation
シビー・シー、ケイトリン・カイ 、イーウェン・ロング 原著 曽根原 春樹 翻訳
(186810)
JAN:9784798186818
(186810) JAN:9784798186818

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Details
Item added on: 2024/12/16
Shipping Date
About 1 week
Dimensions
Format:A5
Number of pages:320
Specifications
Country of manufacture: Japan
Material / component: Format:Book (paper)
Year of manufacture: 2024
Product tag: None

Description

Fundamentally change the rules of product*service creation

ChatGPT reached 100 million users within 2 months of its release. Now it is becoming impossible to think of business without generative AI.

[How will the industry change?]
[Do we need to rethink our business model?]
[Will any new business be lucrative?]
[How can we integrate generative AI into our business?]

These questions will be answered with over 150 real-life examples from Silicon Valley and a practical framework.

In addition, the book provides a detailed explanation of how to create a generative AI product, covering everything from MVP creation, UX design, business model, PMF (product market fit), growth metrics, pricing strategy, and competitive strategy.

This book is a must-read for
*Managers and decision makers involved in product development and operations
*Project managers, engineers, and designers of new businesses
*Businesspeople working in startups
*Managers and corporate planners involved in business management

[Table of Contents Summary]
Part I. Overview of Generating AI
Chapter 1: Fundamentals of the AI Revolution
Chapter 2 Super Power of Generative AI
Chapter 3: Technology Infrastructure and Industry Structure
Chapter 4: Diversity of Applications
Chapter 5 Possibilities and Limitations

Part II How to Create Generative AI Products
Chapter 6: Segmenting Customers
Chapter 7: MVP Creation and Product Design
Chapter 8: Seven Principles of Product Creation and UX Design
Chapter 9: Prompting Techniques for Refining Products
Chapter 10 AI Ethics Guiding Principles
Chapter 11: Business Models and the Path to PMF
Chapter 12 Product Growth Indicators
Chapter 13 GTM and Pricing Strategies
Chapter 14 Three Growth Strategies
Chapter 15 Differentiation and Barriers to Entry

Part III Building Product Careers in the AI Era
Chapter 16 Changing Product Manager Work Styles
Chapter 17 Product Management and Career Update

Appendix 1 Basic Terms for Understanding AI
Appendix 2 Detailed Process and Methods for Hypothesis Testing

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