This book provides insights on how to approach and utilize data science tools, technologies and methodologies related to artificial intelligence (AI) in industrial contexts. It explains the essence of distributed computing and AI-technologies, and their inter-connections. Description of various technology and methodology approaches, and their purpose and benefits when developing AI-solution in industrial contexts is included. In addition, it summarizes experiences from AI technology deployment projects from several industrial sectors.

Features:






Presents compendium of methodologies and technologies in Industrial AI and digitalization.



Illustrates sensor to actuation approach showing complete cycle, that defines and differences AI and digitalization concept.



Covers a broad range of academic and industrial issues within the field of asset management.



Discusses impact of Industry 4.0 in other sectors.



Includes a dedicated chapter on real-time case studies.

This book is aimed at researchers and professionals in industrial and software engineering, network security, AI and ML, engineering managers, operational and maintenance specialists, asset managers, digital and AI manufacturing specialists.