Successful AI Product Creation

The Essential Guide to AI and Generative AI Product Creation from a Veteran AI Leader and Educator In Successful AI Product Creation: A 9-Step Framework, AI product leader, professor of product management and AI, and industry expert, Prof. Shub Agarwal delivers the ultimate playbook—a comprehensive, step-by-step guide to Building, Scaling, and Integrating AI and Generative AI into real-world products. Drawing from over two decades of experience, this comprehensive guide bridges the gap between AI technology and business impact, ensuring you can navigate the AI revolution with confidence. Featuring Forewords by: Ted Shelton, Chief Operating Officer at Inflection AI (co-founded by Reid Hoffman) Dr. Jia Li, Co-Founder and Chief AI Officer at LiveX AI; Founding Head of R&D at Google Cloud AI; AI Professor at Stanford What You'll Learn: Complete 9-Step AI Product Creation Framework: Master the entire AI product lifecycle from discovery and experimentation to scaling, governance, and AI model lifecycle management. 20+ Real-World Case Studies: Learn from successful AI implementations across healthcare, finance, e-commerce, retail, manufacturing, and big tech companies like Google, Meta, Amazon, and Apple. Traditional AI vs. Generative AI: Understand when to use each approach, how to leverage models like GPT and transformers, and key differences in adoption strategies. AI Model Performance and Ethics: Address challenges like bias, fairness, model drift, and regulatory compliance. Practical Tools and Templates: Access decision-making frameworks, checklists, and internal diagrams that guide seamless execution. Who Should Read This Book? AI Product Managers and Tech Leaders: A strategic and tactical guide for AI integration. Entrepreneurs and Founders: Leverage AI for competitive advantage and scalability. Business Executives and Decision-Makers: Understand AI's potential for growth and optimization. Students and Aspiring AI PMs: Develop industry-ready skills through real-world case studies.

Preface xi Foreword by Jia Li xiii Foreword by Ted Shelton xv Introduction: Creating Successful AI Products—A Nine-Step Framework xvii Part I Strategic Foundation 1 Chapter 1 Mapping Problems to Business Goals for AI Products 3 Chapter 2 Curiosity to Learn AI Use Cases and Emerging Technical ML Concepts 23 Chapter 3 Experimentation Mindset and Room in the Roadmap to Innovate 53 Part II Implementation & Integration 73 Chapter 4 Integrating the MDLC with the SDLC 75 Chapter 5 Scaling Research to Production 99 Chapter 6 Acceptance Criteria in the World of AI 121 Part III Sustainable Excellence & Innovation 147 Chapter 7 Patience and Plan to Surpass Human-Level Performance 149 Chapter 8 Model Explainability, Interpretability, Ethics, and Bias 169 Chapter 9 Model Operations: Model Drift Management 193 Chapter 10 AI Is the New UX: Transforming Human Interaction 219 Chapter 11 Understanding Generative AI for Product Management 245 Glossary 259 Acknowledgments 267 About the Author 269 Index 271