Humanizing AI Strategy
Leading AI with Sense and Soul
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Humanizing AI Strategy is a groundbreaking guide that challenges the status quo of artificial intelligence adoption in the workplace. Instead of focusing solely on machine learning models, data pipelines, or generative AI tools, this book explores how to build ethical, sustainable, and people-centric AI strategies that work in the real world. Whether you're a business leader, AI product manager, data strategist, or simply AI-curious, this book offers a jargon-free approach to designing AI systems that align with your organization's goals and your values. Tiankai Feng, author of the bestseller ...
Humanizing AI Strategy is a groundbreaking guide that challenges the status quo of artificial intelligence adoption in the workplace. Instead of focusing solely on machine learning models, data pipelines, or generative AI tools, this book explores how to build ethical, sustainable, and people-centric AI strategies that work in the real world. Whether you're a business leader, AI product manager, data strategist, or simply AI-curious, this book offers a jargon-free approach to designing AI systems that align with your organization's goals and your values. Tiankai Feng, author of the bestseller Humanizing Data Strategy, leverages his transformative framework-the 5Cs (Competence, Collaboration, Communication, Creativity, and Conscience)-to ensure your AI initiatives don't just scale, but scale responsibly. From AI literacy and augmented intelligence to federated governance and emotionally intelligent AI, Feng weaves together practical insights and strategic foresight in a tone that's as accessible as it is insightful. The book shares real-world failures of AI projects, not as technical glitches but as human missteps, emphasizing how leadership, trust, and team dynamics can make or break an AI transformation. This isn't a book about how AI works-it's about how you work with AI. Readers will discover how to build learning ecosystems, design adaptive governance, empower cross-functional teams, and create a culture of ethical innovation. With sections dedicated to AI collaboration models, conscience-driven design, GenAI use cases, and practical diagnostic tools, this book stands apart as a thoughtful, clear-eyed, and deeply human AI leadership resource. This book meets us at the crossroads of possibility and responsibility. It is written for the developers, strategists, product leaders, and thinkers who are shaping AI today-and for those who will shape it tomorrow. Michael Sutcliff, CEO, Thoughtworks This is a practical guide-rich with insights that translate seamlessly into real-world application at a very important time. A valuable resource for professionals seeking clarity and action. Kirsty Mason, CIO Bentley Motors In a world awash with AI hype, "vibes", and a growing loss of our humanity, he cuts through the noise with a refreshingly pragmatic approach, reminding us that a strategy of humanity and soul is necessary for building a future we want to live and work in. Joe Reis, Data Engineer and Best-selling co-author, "Fundamentals of Data Engineering"
