Big Data Analytics in Smart Manufacturing: Principles and Practices

The combination of Artificial Intelligence, IoT and Machine Learning is revolutionary in healthcare systems. The ultra-secure and immutable ledgers, strong, consensus mechanisms, decentralization, and self-sovereign identity of AI and IoT technologies have tremendous potential to rebalance and improve machine learning algorithms. This book discusses the possibility of using AI, IoT and machine learning for the enhancement of healthcare systems.

Features

The readers will get an overview about the smart manufacturing system which enables optimized manufacturing process and benefits the users by increasing overall profit. The researchers will get insight about how the big data technology leverages in finding new associations, factors and patterns through data stream observations in real time smart manufacturing systems. The industrialist can get an overview about the detection of defects in design, rapid response to market, innovative products to meet the customer requirement which can benefits in their per capita income in better way. Discusses technical viewpoints, concepts, theories, and underlying assumptions that are used in smart manufacturing. Information delivered in a user-friendly manner for students, researchers, industrial experts, and business innovators, as well as for professionals and practitioners.

This book is aimed primarily at graduates and researchers working in AI, IoT and machine learning. Healthcare professionals would also find this book useful.