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.
Sprache
Verlagsort
Zielgruppe
Produkt-Hinweis
Fadenheftung
Gewebe-Einband
Maße
Höhe: 218 mm
Breite: 147 mm
Dicke: 23 mm
Gewicht
ISBN-13
978-1-394-35720-8 (9781394357208)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
MATTHEW ALBERTS, PhD, is a technology strategist, engineer, and thought leader. With over 15 years of experience driving digital transformation across the manufacturing, energy, and industrial sectors, he has led the adoption of cutting-edge solutions such as AI, robotics, IoT, and predictive analytics for Fortune 500 companies and high-growth startups alike.
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
