AI for Advanced Manufacturing and Industrial Applications

This book provides a deep dive into the applications of Artificial Intelligence (AI) in advanced manufacturing and intelligent autonomous systems. Through real-world use cases and cutting-edge insights, it examines how AI, machine learning, IoT, and Industry 5.0 are revolutionizing manufacturing processes from end to end.

Discover how integrating AI technologies with data analytics and IoT can unlock smarter, more efficient, and adaptable manufacturing solutions. Learn how predictive algorithms can foresee equipment failures, optimize inventory in real time, and enable autonomous robots to handle complex tasks, from assembly to logistics. With these innovations, manufacturers can achieve new levels of productivity, drive innovation, and create future-ready business models.

Designed for industry practitioners, decision-makers, and aspiring professionals, this comprehensive guide offers actionable strategies and practical insights for implementing AI in advanced manufacturing. Whether you're a leader seeking to modernize operations or a graduate student aiming to enter this dynamic field, this book will empower you to navigate and leverage the next frontier of industrial innovation.

Examines AI applications and use cases in advanced manufacturing today Gives an overview of the impact that ML and data have on end-to-end advanced manufacturing processes Explains potential pitfalls, challenges, and ethical dilemmas associated with implementing AI in manufacturing

Autorentext

Bidyut Sarkar is an IT professional specializing in the life science and industrial manufacturing industry. Over his 20-year career at IBM, he has developed a blend of industry experience, a comprehensive understanding of AI and Analytics, and strategic solutioning skills.

Rudrendu Kumar Paul is an AI expert and applied ML industry professional with over a decade of experience across multiple industries. He has a strong background in managing end-to-end machine learning processes at some of the top Fortune 50 companies.

Inhalt

Introduction to AI in Manufacturing.- AI-Driven Manufacturing Processes.- AI and Advanced Analytics Applications.- Intelligent Supply Chains.- Implementation Challenges and Solutions.- AI Safety and Ethical Considerations.- The Road Ahead.