TY - BOOK
T1 - AI Factory
T2 - Theories, Applications and Case Studies
AU - Karim, Ramin
AU - Galar, Diego
AU - Kumar, Uday
N1 - Publisher Copyright:
© 2023 Ramin Karim, Diego Galar and Uday Kumar.
PY - 2023/1/1
Y1 - 2023/1/1
N2 - This book provides insights into how to approach and utilise 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 interconnections. It includes descriptions of various technology and methodology approaches and their purpose and benefits when developing AI solutions in industrial contexts. In addition, this book summarises experiences from AI technology deployment projects from several industrial sectors. Features: • Presents a compendium of methodologies and technologies in industrial AI and digitalisation. • Illustrates the sensor-to-actuation approach showing the complete cycle, which defines and differentiates AI and digitalisation. • Covers a broad range of academic and industrial issues within the field of asset management. • Discusses the 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 machine learning (ML), engineering managers, operational and maintenance specialists, asset managers, and digital and AI manufacturing specialists.
AB - This book provides insights into how to approach and utilise 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 interconnections. It includes descriptions of various technology and methodology approaches and their purpose and benefits when developing AI solutions in industrial contexts. In addition, this book summarises experiences from AI technology deployment projects from several industrial sectors. Features: • Presents a compendium of methodologies and technologies in industrial AI and digitalisation. • Illustrates the sensor-to-actuation approach showing the complete cycle, which defines and differentiates AI and digitalisation. • Covers a broad range of academic and industrial issues within the field of asset management. • Discusses the 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 machine learning (ML), engineering managers, operational and maintenance specialists, asset managers, and digital and AI manufacturing specialists.
UR - https://www.scopus.com/pages/publications/85165345291
U2 - 10.1201/9781003208686
DO - 10.1201/9781003208686
M3 - Book
AN - SCOPUS:85165345291
SN - 9781032077642
BT - AI Factory
PB - CRC Press
ER -
