Organizing for Generative AI and the Productivity Revolution

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.

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.

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.