
Vendor Profile
Shoeisha Co., Ltd.
Address | 5 Funamachi Shinjuku-ku Tokyo, JAPAN ZIP:160-0006 |
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Representative Name | Kaoru Usui |
Annual Revenue | closed |
No. of Employees | 185 |
Web Site URL |
IT/Information Book Design
SD item code:12973912
Detail | Price & Quantity | ||
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S1 |
Sibby*Shee, Caitlin*Kai, Ewen*Long Original text
Haruki Sonehara Translation
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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
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(186810)
JAN:9784798186818
Wholesale Price: Members Only
1 pc /set
In Stock
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Shipping Date |
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About 1 week
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Dimensions |
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Format:A5
Number of pages:320 |
Specifications |
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Country of manufacture: Japan
Material / component: Format:Book (paper)
Year of manufacture: 2024
Product tag: None
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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 |
More
Shipping Method | Estimated Arrival |
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Sea Mail | From Nov.11th 2025 to Jan.13th 2026 |
Air Mail | From Oct.24th 2025 to Oct.28th 2025 |
EMS | From Oct.23rd 2025 to Oct.28th 2025 |
Pantos Express | From Oct.27th 2025 to Oct.30th 2025 |
DHL | From Oct.23rd 2025 to Oct.27th 2025 |
UPS | From Oct.23rd 2025 to Oct.27th 2025 |
FedEx | From Oct.23rd 2025 to Oct.27th 2025 |
Some trading conditions may be applicable only in Japan.
This product (book) is subject to the Resale Price Maintenance Program. The law allows the manufacturer (publisher) to specify the sales price. We ask that your company also adhere to the resale price specified by us. In the unlikely event that you fail to do so, we may terminate the transaction. Thank you very much for your understanding and cooperation.
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Other items from this category:
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