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The Gen AI Manufacturing Revolution
Smarter Factories, Enhanced Products, and Reduced Costs

Matthew Alberts (Author)

9781394357208, Wiley

Hardback, published 28 August 2025

288 pages
23.1 x 15.8 x 2 cm, 0.476 kg

Transformative insights and advice to reduce downtime, navigate disruptions, and improve efficiency

The Gen AI Manufacturing Revolution highlights how generative and agentic artificial intelligence are transforming manufacturing processes, driving innovation, and reshaping the way we work. Implementing AI in manufacturing comes with unique challenges, such as integrating AI with physical machinery, managing intricate supply chains, and ensuring regulatory compliance. This book addresses these challenges, helping you harness AI's potential while navigating its complexities.

With tailored strategies and use cases, the book demonstrates how to unlock the power of Gen AI, from automating routine tasks to enabling better decision-making. You'll learn to build an AI-ready workforce, overcome common challenges in adoption, drive value across the organization, and maintain accountability.

  • Leverage generative AI to streamline product design, boost creativity, and accelerate innovation
  • Deploy agentic AI systems to autonomously manage workflows, monitor performance, and support complex decision-making
  • Build an AI-ready workforce capable of collaborating with intelligent systems
  • Address ethical, operational, and cultural challenges in AI adoption
  • Drive enterprise-wide value while maintaining transparency and accountability

Whether you're looking to reduce downtime, enhance efficiency, or stay ahead of disruptive change, this book is your essential guide to leading the next wave of industrial transformation through AI.

Foreword xiii

Introduction: A Leadership Playbook for Gen AI xv

Chapter 1 Generative and Agentic AI and the Dawn of the 1-Degree World 1

Chapter 2 AI’s Impact on Society and the 1-Degree World 7

Chapter 3 Key Business Functions Transformed by Gen AI 15

Chapter 4 Tailoring AI Strategy for Small, Medium, and Large Organizations 29

Chapter 5 AI and Organizational Culture: Building an AI-First Mindset 43

Chapter 6 Building an AI-Ready Workforce 53

Chapter 7 Practical Steps for Implementing Gen AI Across the Organization 65

Chapter 8 Case Studies: Success Stories of Gen AI in Action 81

Chapter 9 The Future of Gen AI: Trends and Innovations to Watch 107

Chapter 10 Leadership in AI Governance and Ethical Responsibility 121

Chapter 11 Measuring AI Success: KPIs and Metrics for Evaluating Impact 133

Chapter 12 Overcoming Common Challenges in AI Adoption 145

Chapter 13 Implementing AI Governance and Ensuring Accountability 157

Chapter 14 Creating an AI-First Culture: Fostering Innovation and Adaptability 167

Chapter 15 Driving Change and Accountability in AI Adoption 181

Chapter 16 Growing and Retaining AI Talent 195

Chapter 17 AI in Industry-Specific Applications: Customizing AI for Maximum Impact 205

Chapter 18 Leading Organizational Change in the Age of AI 215

Chapter 19 AI-Driven Innovation: Unlocking New Business Models and Opportunities 223

Chapter 20 Ethical AI for Sustainability and Social Impact in Manufacturing 231

Chapter 21 Scaling AI: From Pilot Projects to Full-Scale Transformation 237

Chapter 22 Leading in the AI-Driven 1-Degree World: Ethics, Workforce Transformation, and Global Strategy 247

Index 257

Subject Areas: Computer science [UY]
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