Governance in The Age of Gen AI

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Bol Board members and management need to understand how generative AI impacts their business and the industry, and what strategic choices will enable them to exploit the opportunities and manage the challenges. In Governance in The Age of Gen AI, authors Ashwin Rangan and Dean A. Yoost present twelve vantage points on generative AI. Beginning with a discussion of the new foundation of artificial intelligence, market, and competitive analysis, and the technology and AI infrastructure requirements, the chapters move to the criticality of data governance, and hallucinations, prompt engineering, and retrieval-augmented generation. Rangan and Yoost then transition to the critical roles and skills development, managing the risks, and testing, evaluation, and measuring the success, as well as software development and system integration, creating the strategy, and the board's governance in the age of AI. It closes with perspectives on what is likely to be next.The handbook serves as a guide for directors and management, offering a practical lens to the most important questions and emerging challenges with generative AI. In an easy-to-read and understandable format, it offers information about the fundamentals of AI, and it tells how to stimulate creative and critical thinking in the boardroom. The power of generative AI is just beginning to be recognized and valued. Board members and executives need to be fully informed to get their organizations on top of the wave.

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Board members and management need to understand how generative AI impacts their business and the industry, and what strategic choices will enable them to exploit the opportunities and manage the challenges. In Governance in The Age of Gen AI, authors Ashwin Rangan and Dean A. Yoost present twelve vantage points on generative AI. Beginning with a discussion of the new foundation of artificial intelligence, market, and competitive analysis, and the technology and AI infrastructure requirements, the chapters move to the criticality of data governance, and hallucinations, prompt engineering, and retrieval-augmented generation. Rangan and Yoost then transition to the critical roles and skills development, managing the risks, and testing, evaluation, and measuring the success, as well as software development and system integration, creating the strategy, and the board's governance in the age of AI. It closes with perspectives on what is likely to be next.The handbook serves as a guide for directors and management, offering a practical lens to the most important questions and emerging challenges with generative AI. In an easy-to-read and understandable format, it offers information about the fundamentals of AI, and it tells how to stimulate creative and critical thinking in the boardroom. The power of generative AI is just beginning to be recognized and valued. Board members and executives need to be fully informed to get their organizations on top of the wave.


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