
AI-First Leader
A Practical Guide to Organizational AI Leadership
- English
- ePUB (mobile friendly)
- Available on iOS & Android
About this book
AI-First Leader: A Practical Guide to Organizational AI Leadership is a practical guide for executives, technology leaders, and decision- makers seeking to turn artificial intelligence into a strategic advantage. As AI rapidly reshapes how organizations operate and compete, this book provides a clear roadmap from initial awareness to enterprise-wide adoption. It equips leaders with the tools to navigate both the promise and complexity of today's AI landscape, including machine learning, generative AI, and autonomous systems.
Blending technical clarity with strategic insight, the book is anchored in real-world frameworks and brought to life through the fictional yet highly realistic case study of NovaBridge Health, a mid-sized healthcare system navigating the risks and rewards of AI transformation. Through this narrative, readers gain firsthand insights into overcoming early missteps, building trust, aligning AI systems with KPIs, and scaling responsibly in regulated environments. Topics span foundational and advanced concepts, from data governance, model evaluation, and prompt engineering to the deployment of AI agents, resilient infrastructure, and responsible AI practices. Actionable insights, decision frameworks, and sector-specific examples help leaders bridge the gap between innovation and execution.
Written for CEOs, CTOs, product managers, and innovation leads, AI-First Leader: A Practical Guide to Organizational AI demystifies AI without diluting its complexity. Whether you're building your first chatbot, deploying generative search and co-pilots, or shaping guardrails for enterprise-wide use, this book provides the blueprint to lead with AI strategically, responsibly, and at scale.
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Information
Table of contents
- Cover
- Endorsements
- Half-Title Page
- Title Page
- Copyright Page
- Table of Contents
- Preface
- Acknowledgments
- About the Authors
- I AI Essentials: What Every Leader Must Know
- Chapter 1 The AI Imperative
- Chapter 2 AI’s Evolution and Strategic Impact
- Chapter 3 Machine Learning for Leaders
- Chapter 4 Generative AI Demystified
- II AI at Work: Optimizing, Deploying, and Scaling AI Systems
- Chapter 5 Optimizing GenAI
- Chapter 6 AI Agents and Autonomy
- Chapter 7 Infrastructure, Security, and Reliability
- III AI Advantage: Driving Transformation, ROI, and Responsible Innovation
- Chapter 8 Generative AI Across Sectors
- Chapter 9 ROI Frameworks
- Chapter 10 Leading AI Transformation
- Chapter 11 Responsible AI
- Afterword: The Future Is Ours to Build
- Index