Industrial IoT: Factories that Learn

Traditional factories react. Intelligent factories learn. Industrial IoT: Factories that Learn explores how connected machines, data flows, and feedback systems transform industrial operations from rigid processes into adaptive environments.
This book takes a transformation-first perspective. It examines how Industrial IoT reshapes production by enabling machines to observe outcomes, adjust parameters, and improve over time. The focus is not on devices, but on behavior—how factories evolve when learning is built into operations.
Readers are guided through how data moves from equipment to insight, how analytics influence control systems, and how continuous learning changes throughput, quality, and energy efficiency. The book emphasizes cultural and operational shifts alongside technology.
Readers will examine:
• How Industrial IoT turns production data into learning loops
• Why automation alone is not intelligence
• How feedback enables continuous process improvement
• How humans and machines co-learn on the shop floor
• Why learning factories outperform optimized ones
This book is for manufacturing leaders, engineers, and transformation teams shaping the next generation of industry. If your vision goes beyond automation toward factories that adapt, improve, and teach themselves, this book defines what learning truly means in Industrial IoT.