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020 _a9798868803185
_9979-8-8688-0318-5
024 7 _a10.1007/979-8-8688-0318-5
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
100 1 _aCohan, Peter.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_980059
245 1 0 _aBrain Rush
_h[electronic resource] :
_bHow to Invest and Compete in the Real World of Generative AI /
_cby Peter Cohan.
250 _a1st ed. 2024.
264 1 _aBerkeley, CA :
_bApress :
_bImprint: Apress,
_c2024.
300 _aXIV, 401 p. 3 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aChapter 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.
520 _aAfter 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.
650 0 _aArtificial intelligence.
_958441
650 0 _aValuation.
_969063
650 0 _aManagement.
_9324
650 0 _aStrategic planning.
_957225
650 0 _aLeadership.
_94372
650 0 _aApplication software.
650 1 4 _aArtificial Intelligence.
_958441
650 2 4 _aInvestment Appraisal.
_969065
650 2 4 _aManagement.
_9324
650 2 4 _aBusiness Strategy and Leadership.
_967107
650 2 4 _aComputer and Information Systems Applications.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9798868803178
776 0 8 _iPrinted edition:
_z9798868803192
776 0 8 _iPrinted edition:
_z9798868810985
856 4 0 _uhttps://doi.org/10.1007/979-8-8688-0318-5
912 _aZDB-2-CWD
912 _aZDB-2-SXPC
999 _c61356
_d61356