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Organizing for Generative AI and the Productivity Revolution: Reshaping Organizational Roles in the Age of Artificial Intelligence - Couverture souple
Synopsis
As leaders plan to make significant investments to harness the power of foundational models such as ChatGPT, 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 book reveals practical and no-nonsense guidance on how to leverage generative AI to transform your business processes and organizational structures to achieve breakthroughs in efficiency, effectiveness and competitive advantage.
Written in a lively, engaging, and often humorous style, this work provides practical insights and timely survival skills for leaders with anonymous but real-world experiences and case studies. If you’re looking to 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 then Organizing for Generative AI and the Productivity Revolution is the book for you.
What You Will Learn
- Review the key changes in current state roles and responsibilities that are required to successfully deploy generative AI systems
- Examine the organizational reporting structures and associated incentives that form a strong generative AI system
- Understand the financial, regulatory, and operational risks created by organizational behavioral issues that arise when organizations build and deploy large language models
- Compare the strategic differences in emerging versus traditional organizational behaviors, incentives, roles and responsibilities
Who This Book Is For
Executives and team leaders at enterprises large and small.
“The book addresses an important topic: how to set up an organization for success, particularly in Generative AI. Generative AI brings new challenges to organizations in terms of how to structure the organization for success, mitigating risks, software development lifecycle, and tracking ROI. I could think of no better person to tackle these issues than Arthur O’Connor, who has extensive experience in technology within some of the largest enterprises in Wall Street, complemented by his academic background. He brings an insightful and unique perspective for technology leaders who want to set up their organizations for success in Generative AI.”
- Joseph Sabelja, Generative AI Firmwide Platform Lead, J P Morgan
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
- ÉditeurApress
- Date d'édition2024
- ISBN 13 9798868809583
- ReliureBroché
- Langueanglais
- Nombre de pages312
- Coordonnées du fabricantnon disponible
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As leaders plan to make significant investments to harness the power of foundational models such as ChatGPT, 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 book reveals practical and no-nonsense guidance on how to leverage generative AI to transform your business processes and organizational structures to achieve breakthroughs in efficiency, effectiveness and competitive advantage.Written in a lively, engaging, and often humorous style, this work provides practical insights and timely survival skills for leaders with anonymous but real-world experiences and case studies. If you re looking to 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 then Organizing for Generative AI and the Productivity Revolution is the book for you.What You Will Learn Review the key changes in current state roles and responsibilities that are required to successfully deploy generative AI systemsExamine the organizational reporting structures and associated incentives that form a strong generative AI systemUnderstand the financial, regulatory, and operational risks created by organizational behavioral issues that arise when organizations build and deploy large language modelsCompare the strategic differences in emerging versus traditional organizational behaviors, incentives, roles and responsibilitiesWho This Book Is ForExecutives and team leaders at enterprises large and small. The book addresses an important topic: how to set up an organization for success, particularly in Generative AI. Generative AI brings new challenges to organizations in terms of how to structure the organization for success, mitigating risks, software development lifecycle, and tracking ROI. I could think of no better person to tackle these issues than Arthur O Connor, who has extensive experience in technology within some of the largest enterprises in Wall Street, complemented by his academic background. He brings an insightful and unique perspective for technology leaders who want to set up their organizations for success in Generative AI. - Joseph Sabelja, Generative AI Firmwide Platform Lead, J P Morgan. N° de réf. du vendeur 9798868809583
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Organizing for Generative AI and the Productivity Revolution
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ISBN 13 : 9798868809583
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -As leaders plan to make significant investments to harness the power of foundational models such as ChatGPT, 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 book reveals practical and no-nonsense guidance on how to leverage generative AI to transform your business processes and organizational structures to achieve breakthroughs in efficiency, effectiveness and competitive advantage.Written in a lively, engaging, and often humorous style, this work provides practical insights and timely survival skills for leaders with anonymous but real-world experiences and case studies. If you're looking to 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 then Organizing for Generative AI and the Productivity Revolution is the book for you.What You Will Learn Review the key changes in current state roles and responsibilities that are required to successfully deploy generative AI systemsExamine the organizational reporting structures and associated incentives that form a strong generative AI systemUnderstand the financial, regulatory, and operational risks created by organizational behavioral issues that arise when organizations build and deploy large language modelsCompare the strategic differences in emerging versus traditional organizational behaviors, incentives, roles and responsibilitiesWho This Book Is ForExecutives and team leaders at enterprises large and small. 282 pp. Englisch. N° de réf. du vendeur 9798868809583
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Taschenbuch. Etat : Neu. Neuware -As leaders plan to make significant investments to harness the power of foundational models such as ChatGPT, 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 book reveals practical and no-nonsense guidance on how to leverage generative AI to transform your business processes and organizational structures to achieve breakthroughs in efficiency, effectiveness and competitive advantage.Written in a lively, engaging, and often humorous style, this work provides practical insights and timely survival skills for leaders with anonymous but real-world experiences and case studies. If yoüre looking to 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 then Organizing for Generative AI and the Productivity Revolution is the book for you.What You Will LearnReview the key changes in current state roles and responsibilities that are required to successfully deploy generative AI systemsExamine the organizational reporting structures and associated incentives that form a strong generative AI systemUnderstand the financial, regulatory, and operational risks created by organizational behavioral issues that arise when organizations build and deploy large language modelsCompare the strategic differences in emerging versus traditional organizational behaviors, incentives, roles and responsibilitiesWho This Book Is ForExecutives and team leaders at enterprises large and small.APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 312 pp. Englisch. N° de réf. du vendeur 9798868809583
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Paperback. Etat : new. Paperback. As leaders plan to make significant investments to harness the power of foundational models such as ChatGPT, 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 book reveals practical and no-nonsense guidance on how to leverage generative AI to transform your business processes and organizational structures to achieve breakthroughs in efficiency, effectiveness and competitive advantage.Written in a lively, engaging, and often humorous style, this work provides practical insights and timely survival skills for leaders with anonymous but real-world experiences and case studies. If youre looking to 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 then Organizing for Generative AI and the Productivity Revolution is the book for you.What You Will Learn Review the key changes in current state roles and responsibilities that are required to successfully deploy generative AI systemsExamine the organizational reporting structures and associated incentives that form a strong generative AI systemUnderstand the financial, regulatory, and operational risks created by organizational behavioral issues that arise when organizations build and deploy large language modelsCompare the strategic differences in emerging versus traditional organizational behaviors, incentives, roles and responsibilitiesWho This Book Is ForExecutives and team leaders at enterprises large and small.The book addresses an important topic: how to set up an organization for success, particularly in Generative AI. Generative AI brings new challenges to organizations in terms of how to structure the organization for success, mitigating risks, software development lifecycle, and tracking ROI. I could think of no better person to tackle these issues than Arthur OConnor, who has extensive experience in technology within some of the largest enterprises in Wall Street, complemented by his academic background. He brings an insightful and unique perspective for technology leaders who want to set up their organizations for success in Generative AI.- Joseph Sabelja, Generative AI Firmwide Platform Lead, J P Morgan Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798868809583
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