-
Book Overview & Buying
-
Table Of Contents
-
Feedback & Rating
The Chief AI Officer's Handbook
By :
The Chief AI Officer's Handbook
By:
Overview of this book
Chief Artificial Intelligence Officers (CAIOs) are now imperative for businesses, enabling organizations to achieve strategic goals and unlock transformative opportunities through the power of AI. By building intelligent systems, training models to drive impactful decisions, and creating innovative applications, they empower organizations to thrive in an AI-driven world. Written by Jarrod Anderson, Chief AI Officer at SYRV.AI, this book bridges the gap between visionary leadership and practical execution.
This handbook reimagines AI leadership for today’s fast-paced environment, leveraging predictive, deterministic, generative, and agentic AI to address complex challenges and foster innovation. It provides CAIOs with the strategies to develop transformative AI initiatives, build and lead elite teams, and adopt AI responsibly while maintaining compliance. From shaping impactful solutions to achieving measurable business outcomes, this guide offers a roadmap for making AI your organization’s competitive edge.
By the end of this book, you’ll have the knowledge and tools to excel as a Chief AI Officer, driving innovation, strategic growth, and lasting success for your organization.
Table of Contents (25 chapters)
Preface
Part 1: The Role and Responsibilities of the Chief AI Officer
Chapter 1: Why Every Company Needs a Chief AI Officer
Chapter 2: Key Responsibilities of a Chief AI Officer
Chapter 3: Crafting a Winning AI Strategy
Chapter 4: Building High-Performing AI Teams
Part 2: Building and Implementing AI Systems
Chapter 5: Data – the Lifeblood of AI
Chapter 6: AI Project Management
Chapter 7: Understanding Deterministic, Probabilistic, and Generative AI
Chapter 8: AI Agents and Agentic Systems
Chapter 9: Designing AI Systems
Chapter 10: Training AI Models
Chapter 11: Deploying AI Solutions
Part 3: Governance, Ethics, Security, and Compliance
Chapter 12: AI Governance and Ethics
Chapter 13: Security in AI Systems
Chapter 14: Privacy in the Age of AI
Chapter 15: AI Compliance
Part 4: Empowering AI Leadership with Practical Tools and Insights
Chapter 16: Conclusion
Chapter 17: Appendix
Assessments
Index
Customer Reviews