Muutke küpsiste eelistusi

Successful AI Product Creation: A 9-Step Framework [Pehme köide]

(University of Southern California, CA)
  • Formaat: Paperback / softback, 304 pages, kõrgus x laius x paksus: 224x150x20 mm, kaal: 408 g
  • Ilmumisaeg: 21-Apr-2025
  • Kirjastus: John Wiley & Sons Inc
  • ISBN-10: 1394337841
  • ISBN-13: 9781394337842
  • Pehme köide
  • Hind: 33,35 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Tavahind: 39,24 €
  • Säästad 15%
  • Raamatu kohalejõudmiseks kirjastusest kulub orienteeruvalt 2-4 nädalat
  • Kogus:
  • Lisa ostukorvi
  • Tasuta tarne
  • Tellimisaeg 2-4 nädalat
  • Lisa soovinimekirja
  • Formaat: Paperback / softback, 304 pages, kõrgus x laius x paksus: 224x150x20 mm, kaal: 408 g
  • Ilmumisaeg: 21-Apr-2025
  • Kirjastus: John Wiley & Sons Inc
  • ISBN-10: 1394337841
  • ISBN-13: 9781394337842
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 playbooka 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 ProductsA 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
SHUB AGARWAL is a product leader and educator with nearly two decades of experience spanning academia, Fortune 50 companies, Silicon Valley startups, and Amazon. He teaches AI and Product Management at the University of Southern California, Los Angeles, and specializes in translating complex AI concepts into actionable product strategies.