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Brain rushhow to invest and compete ...

Cohan, Peter.

Brain rushhow to invest and compete in the real world of generative AI /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Brain rushby Peter Cohan.
其他題名:	how to invest and compete in the real world of generative AI /
作者:	Cohan, Peter.
出版者:	Berkeley, CA :Apress :2024.
面頁冊數:	xiv, 401 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Artificial intelligenceEconomic aspects.
電子資源:	https://doi.org/10.1007/979-8-8688-0318-5
ISBN:	9798868803185$q(electronic bk.)

Brain rushhow to invest and compete in the real world of generative AI /
Cohan, Peter.

Brain rushhow to invest and compete in the real world of generative AI /[electronic resource] :by Peter Cohan. - Berkeley, CA :Apress :2024. - xiv, 401 p. :ill., digital ;24 cm.

Chapter 1 title: Brain Rush -- Part I: Mining Generative AI's End User Value -- Chapter 2 title: Generative AI Customer End Uses -- Part II: Mapping The Generative AI Ecosystem -- Chapter 3 title: Generative AI Application Software -- Chapter 4 title: Generative AI Cloud Services -- Chapter 5 title: Generative AI Network Technology -- Chapter 6 title: Generative AI Semiconductors -- Part II: Panning For Generative AI Gold -- Chapter 7 title: How Companies Can Profit From Generative AI -- Chapter 8 title: Supplying The Generative AI Picks And Shovels -- Chapter 9 title: Capitalizing The Generative AI Winners -- Chapter 10 title: After the Brain Rush.

After decades of false starts, artificial intelligence (AI) is entering the mainstream of society. That is largely due to the rapid adoption of ChatGPT, a service that responds to almost any natural language question with cogent paragraphs. ChatGPT is the leading example of generative AI -- technology that creates original text, images, video and computer code based on uncovering patterns in training data. The book will explain how generative AI works and how much economic value it could create and will map out the industry value network. For each value network stage, the book will define the industry, estimate its size, growth rate, and profit potential, identify the most successful participants, and explain how they have achieved their success and where they will compete in the future. The book will conclude with a section on what investors and business leaders should do to make an informed decision on where to place their bets. What You Will Learn Insights on how best to assemble the resources - whether by hiring a consultant or bringing on board a generative AI expert -- to build, train, and operate company specific generative AI applications How management can brainstorm, evaluate and execute the right opportunities Concepts and processes to enable investors to place bets with the highest risk-adjusted returns Who This Book is For Business and enterprises seeking to get value from generative AI, current or potential suppliers of technology and services to companies that build generative AI, and venture capitalists and public equity investors seeking to make profitable bets on generative AI companies.

ISBN: 9798868803185$q(electronic bk.)

Standard No.: 10.1007/979-8-8688-0318-5doiSubjects--Topical Terms:

851243
Artificial intelligence
--Economic aspects.

LC Class. No.: HC79.I55

Dewey Class. No.: 006.3

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