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[null,null,"Autore",null,"O'Connor Arthur J"]
[null,null,"Titolo",null,"Organizing for Generative AI and the Productivity Revolution : Reshaping Organizational Roles in the Age of Artificial Intelligence / / by Arthur J. O’Connor"]
[null,null,"Pubbl/distr/stampa",null,"Berkeley, CA : , : Apress : , : Imprint : Apress, , 2024"]
[null,null,"ISBN",null,"9798868809590"]
[{"$nulls":4},"9798868809583"]
[null,null,"Edizione",null,"[1st ed. 2024.]"]
[null,null,"Descrizione fisica",null,"1 online resource (300 pages)"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Strategic planning"]
[{"$nulls":4},"Leadership"]
[{"$nulls":4},"Business"]
[{"$nulls":4},"Management science"]
[{"$nulls":4},"Business information services"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Business Strategy and Leadership"]
[{"$nulls":4},"Business and Management"]
[{"$nulls":4},"IT in Business"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Includes index."]
[null,null,"Nota di contenuto",null,"Part 1: Yesterday, Today, and Tomorrow -- Chapter 1. The History and Potential Future of Human-Machine Collaboration -- Chapter 2. Data Governance: The Foundation for Generative AI -- Chapter 3. The Challenges to Corporate Governance -- Part 2: Organizational Transformation – Current and Future States -- Chapter 4. Lessons Learned -- Chapter 5. The Intelligent Organization of the Future -- Chapter 6. Leadership in the Intelligent Organization -- Part 3: What Regulators and Academics Are Saying -- Chapter 7. Regulation and Compliance -- Chapter 8. Views from the Ivory Tower -- Chapter 9. Preparing for the Next Big Thing -- Appendix A: Data Governance Best Practices -- Appendix B: 12 Pivotal IT Roles in Organizational Transformation."]
[null,null,null,"Sommario/riassunto","As leaders plan to make significant investments to harness the power of foundational models such as ChatGPT, they need to understand the "]
[{"$nulls":4},"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. You’ll review the key changes in current state roles and responsibilities that are required to successfully deploy generative AI systems. You’ll also see how to combat financial, regulatory, and operational risks created by organizational behavioral issues that arise when organizations build and deploy large language models. Then compare the strategic differences in emerging versus traditional organizational behaviors, incentives, roles and responsibilities 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."]