AI Technologies for Information Systems and Management Science Proceedings of 6th International Conference on Information Systems and Management Science (ISMS) 2023 - Volume 1 /
AI Technologies for Information Systems and Management Science Proceedings of 6th International Conference on Information Systems and Management Science (ISMS) 2023 - Volume 1 / [electronic resource] :
edited by Lalit Garg, Nishtha Kesswani, Imene Brigui, Bhupesh Kr. Dewangan, R. N. Shukla, Dilip Singh Sisodia.
- 1st ed. 2024.
- XI, 561 p. 289 illus., 233 illus. in color. online resource.
- Lecture Notes in Networks and Systems, 1071 2367-3389 ; .
- Lecture Notes in Networks and Systems, 1071 .
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.
9783031664106
Computational intelligence.
Engineering--Data processing.
Management.
Computational Intelligence.
Data Engineering.
Management.
Q342
006.3
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.
9783031664106
Computational intelligence.
Engineering--Data processing.
Management.
Computational Intelligence.
Data Engineering.
Management.
Q342
006.3
