Ai Technologies for Information Systems and Management Science : Proceedings of 6th International Conference on Information Systems and Management Science Isms 2023
Garg, Lalit (EDT); Kesswani, Nishtha (EDT); Brigui, Imene (EDT); Dewangan, Bhupesh Kr. (EDT); Shukla, R. N. (EDT)
Language: English
Published by Springer, 2024
- Softcover
- Used
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- Title
- Ai Technologies for Information Systems and Management Science : Proceedings of 6th International Conference on Information Systems and Management Science Isms 2023
- Author
- Garg, Lalit (EDT); Kesswani, Nishtha (EDT); Brigui, Imene (EDT); Dewangan, Bhupesh Kr. (EDT); Shukla, R. N. (EDT)
- Publisher
- Springer
- Publication year
- 2024
- Condition
- As New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3031664094
- ISBN 13
- 9783031664090
This book explores the integration of artificial intelligence into various facets of information systems and management. It delves into machine learning, natural language processing, and computer vision applications, illustrating how these technologies revolutionize decision-making, optimization, and data analysis. Through case studies and theoretical frameworks, the book elucidates the transformative potential of AI in enhancing organizational efficiency and strategic planning, making it an essential reading for professionals and researchers navigating the intersection of AI and business. This book also highlights the efforts to build ethical norms and frameworks for AI adoption in MIS, as well as data privacy and security considerations.
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From the Back Cover
This book explores the integration of artificial intelligence into various facets of information systems and management. It delves into machine learning, natural language processing, and computer vision applications, illustrating how these technologies revolutionize decision-making, optimization, and data analysis. Through case studies and theoretical frameworks, the book elucidates the transformative potential of AI in enhancing organizational efficiency and strategic planning, making it an essential reading for professionals and researchers navigating the intersection of AI and business. This book also highlights the efforts to build ethical norms and frameworks for AI adoption in MIS, as well as data privacy and security considerations.
"About the title" may belong to another edition of this title.
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