AI-Driven IoT Systems for Industry 4.0, explores current research to be carried out in the cutting edge areas of AI for advanced analytics, integration of IIoT solutions and Edge components, automation in cyber-physical systems, world leading Industry 4.0 frameworks and adaptive supply chains etc. The book is broken up into five parts. Part one provides an overview of Industry 4.0, it describes the challenges in digital transformation and automation. Part two discusses digital connectivity and sensors. Part three explores intelligent thinking and data science for Industy 4.0, and AI for optimal decision making. Part four of the book explores automation in Industry 4.0 and hybrid edge computing architecture for automation. The last part examines industrial IOT and edge AI. It presents edge AI powered visual insights using cloud computing for smart factories. It also discusses the potential use of AI in construction of digital twins for speeding up product development lifecycles to identify and predict potential production problems based on sensor data and to suggest decisions in design or process changes in smart factory.

The book provides insights into role of deep learning and AI in speeding up product development lifecycles through automation. This book is intended for undergraduates, postgraduates, academicians, researchers, and industry professionals in industrial and computer engineering.