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    Organizing for Generative AI and the Productivity Revolution

Organizing for Generative AI and the Productivity Revolution

Organizing for Generative AI and the Productivity Revolution
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      As leaders plan to make significant investments to harness the power of foundational models such as ChaptGPT, they need to understand the changes in organizational behaviors required for the successful implementation of such systems. The size, complexity and nature of this new wave of technologies requires a refresh in roles and responsibilities in conventional IT organizations. This handbook reveals practical and non-sense guidance on what and how to leverage generative AI to transform their business processes and organizational structures to achieve breakthroughs in efficiency, effectiveness and competitive advantage. Written in a lively, engaging and often humorous style, this collaboration by a leading corporate executive/practitioner and published academic researcher and provides practical insights and timely survival skills for leaders with anonymous but real-world experiences and case studies.What You Will Learn• Key changes in current state roles and responsibilities – as well as organizational reporting structures and associated incentives – required to successfully deploy generative AI systems• The financial, regulatory and operational risks created by organizational behavioral issues that arise when organization take on building and deploying large language models • Strategic differences in emerging vs. traditional organizational behaviors, incentives, roles and responsibilitiesWho This Book is ForExecutives and team leaders at enterprises large and small are under siege with new wave of buzzwords that the proponents of foundation models have created. This book is designed to help the layperson understand how large language foundation models such as ChatGPT are reshaping managerial roles and organizational structures, and how they can leverage this knowledge to survive and thrive in this Brave New World.
      Format: CONTRIBUTORS: Organizing for Generative AI and the Productivity Revolution EAN: 9798868809583 COUNTRY: Germany PAGES: 150 WEIGHT: HEIGHT: 235 cm
      PUBLISHED BY: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG DATE PUBLISHED: 2024-10-31 CITY: GENRE: BUSINESS & ECONOMICS / Management Science, BUSINESS & ECONOMICS / Strategic Planning, BUSINESS & ECONOMICS / Leadership, BUSINESS & ECONOMICS / Information Management, COMPUTERS / Artificial Intelligence / General WIDTH: 155 cm SPINE:

      Book Themes:

      Business and Management, Business strategy, Business mathematics and systems, Business applications, Artificial intelligence

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      Arthur J. O’Connor is the head of the MS in Data Science and BS in Information Systems degree programs at the City University of New York. He has over 20 years of experience as a senior corporate executive and IT management consultant. A graduate of the Newhouse School of Journalism at Syracuse University, he earned his MBA from Fordham University and his Doctorate of Professional Studies from the Lubin School of Business at Pace University. 
      As leaders plan to make significant investments to harness the power of foundational models such as ChaptGPT, they need to understand the changes in organizational behaviors required for the successful implementation of such systems. The size, complexity and nature of this new wave of technologies requires a refresh in roles and responsibilities in conventional IT organizations. This handbook reveals practical and non-sense guidance on what and how to leverage generative AI to transform their business processes and organizational structures to achieve breakthroughs in efficiency, effectiveness and competitive advantage. Written in a lively, engaging and often humorous style, this collaboration by a leading corporate executive/practitioner and published academic researcher and provides practical insights and timely survival skills for leaders with anonymous but real-world experiences and case studies.What You Will Learn• Key changes in current state roles and responsibilities – as well as organizational reporting structures and associated incentives – required to successfully deploy generative AI systems• The financial, regulatory and operational risks created by organizational behavioral issues that arise when organization take on building and deploying large language models • Strategic differences in emerging vs. traditional organizational behaviors, incentives, roles and responsibilitiesWho This Book is ForExecutives and team leaders at enterprises large and small are under siege with new wave of buzzwords that the proponents of foundation models have created. This book is designed to help the layperson understand how large language foundation models such as ChatGPT are reshaping managerial roles and organizational structures, and how they can leverage this knowledge to survive and thrive in this Brave New World.
      Format: CONTRIBUTORS: Organizing for Generative AI and the Productivity Revolution EAN: 9798868809583 COUNTRY: Germany PAGES: 150 WEIGHT: HEIGHT: 235 cm
      PUBLISHED BY: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG DATE PUBLISHED: 2024-10-31 CITY: GENRE: BUSINESS & ECONOMICS / Management Science, BUSINESS & ECONOMICS / Strategic Planning, BUSINESS & ECONOMICS / Leadership, BUSINESS & ECONOMICS / Information Management, COMPUTERS / Artificial Intelligence / General WIDTH: 155 cm SPINE:

      Book Themes:

      Business and Management, Business strategy, Business mathematics and systems, Business applications, Artificial intelligence

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      Arthur J. O’Connor is the head of the MS in Data Science and BS in Information Systems degree programs at the City University of New York. He has over 20 years of experience as a senior corporate executive and IT management consultant. A graduate of the Newhouse School of Journalism at Syracuse University, he earned his MBA from Fordham University and his Doctorate of Professional Studies from the Lubin School of Business at Pace University. 

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