Proceedings of 6th International Conference on Information Systems and Management Science (ISMS) 2023 - Volume 1 Garg, Lalit. editor. edt http://id.loc.gov/vocabulary/relators/edt Kesswani, Nishtha. editor. edt http://id.loc.gov/vocabulary/relators/edt Brigui, Imene. editor. edt http://id.loc.gov/vocabulary/relators/edt Dewangan, Bhupesh Kr. editor. edt http://id.loc.gov/vocabulary/relators/edt Shukla, R. N. editor. edt http://id.loc.gov/vocabulary/relators/edt Sisodia, Dilip Singh. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access XI, 561 p. 289 illus., 233 illus. in color. online resource. 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. edited by Lalit Garg, Nishtha Kesswani, Imene Brigui, Bhupesh Kr. Dewangan, R. N. Shukla, Dilip Singh Sisodia. Computational intelligence Engineering Data processing Management Computational Intelligence Data Engineering Management Q342 9783031664106 https://doi.org/10.1007/978-3-031-66410-6 https://doi.org/10.1007/978-3-031-66410-6 241008 20251030113311.0 978-3-031-66410-6