UID:
almahu_9949530755602882
Umfang:
1 online resource (xxvii, 416 pages) :
,
illustrations.
Ausgabe:
First edition.
ISBN:
9781003208686
,
1003208681
,
9781000865059
,
1000865053
,
9781000865073
,
100086507X
Serie:
ICT in asset management
Inhalt:
"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"--
Anmerkung:
Introduction -- Digital twins -- Hypes and trends in industry -- Data analytics -- Data-driven decision-making -- Fundamental in artificial intelligence -- System-thinking and system engineering -- Software engineering -- Distributed computing -- Case studies -- AI factory: a roadmap for AI transformation -- In industrial AI we believe.
Weitere Ausg.:
Print version: Karim, Ramin. AI factory Boca Raton : CRC Press, Taylor & Francis Group, 2023 ISBN 9781032077642
Sprache:
Englisch
Fachgebiete:
Informatik
,
Wirtschaftswissenschaften
URL:
https://www.taylorfrancis.com/books/9781003208686
URL:
Volltext
(URL des Erstveröffentlichers)
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