
The Gen AI Manufacturing Revolution
Smarter Factories, Enhanced Products, and Reduced Costs
- 285 pages
- English
- PDF
- Available on iOS & Android
The Gen AI Manufacturing Revolution
Smarter Factories, Enhanced Products, and Reduced Costs
About this book
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.
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Information
Table of contents
- Cover
- Title Page
- Copyright Page
- About the Author
- Acknowledgments
- Contents
- Foreword
- Introduction: A Leadership Playbook for Gen AI
- Chapter 1 Generative and Agentic AI and the Dawn of the 1-Degree World
- Chapter 2 AI’s Impact on Society and the 1-Degree World
- Chapter 3 Key Business Functions Transformed by Gen AI
- Chapter 4 Tailoring AI Strategy for Small, Medium, and Large Organizations
- Chapter 5 AI and Organizational Culture: Building an AI-First Mindset
- Chapter 6 Building an AI-Ready Workforce
- Chapter 7 Practical Steps for Implementing Gen AI Across the Organization
- Chapter 8 Case Studies: Success Stories of Gen AI in Action
- Chapter 9 The Future of Gen AI: Trends and Innovations to Watch
- Chapter 10 Leadership in AI Governance and Ethical Responsibility
- Chapter 11 Measuring AI Success: KPIs and Metrics for Evaluating Impact
- Chapter 12 Overcoming Common Challenges in AI Adoption
- Chapter 13 Implementing AI Governance and Ensuring Accountability
- Chapter 14 Creating an AI-First Culture: Fostering Innovation and Adaptability
- Chapter 15 Driving Change and Accountability in AI Adoption
- Chapter 16 Growing and Retaining AI Talent
- Chapter 17 AI in Industry-Specific Applications: Customizing AI for Maximum Impact
- Chapter 18 Leading Organizational Change in the Age of AI
- Chapter 19 AI-Driven Innovation: Unlocking New Business Models and Opportunities
- Chapter 20 Ethical AI for Sustainability and Social Impact in Manufacturing
- Chapter 21 Scaling AI: From Pilot Projects to Full-Scale Transformation
- Chapter 22 Leading in the AI-Driven 1-Degree World: Ethics, Workforce Transformation, and Global Strategy
- Index
- EULA