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AI Technologies for Information Systems and Management Science [electronic resource] : Proceedings of 6th International Conference on Information Systems and Management Science (ISMS) 2023 - Volume 1 / edited by Lalit Garg, Nishtha Kesswani, Imene Brigui, Bhupesh Kr. Dewangan, R. N. Shukla, Dilip Singh Sisodia.

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Material type:

TextSeries: Lecture Notes in Networks and Systems ; 1071Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edition: 1st ed. 2024Description: XI, 561 p. 289 illus., 233 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783031664106

Subject(s):

-- Data processing

Additional physical formats: Printed edition:: No title; Printed edition:: No titleLOC classification:

Q342

Online resources:

Resursa online

In: Springer Nature eBookSummary: 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.

Item type: List(s) this item appears in: Titluri cărți electronice Springer Nature 2025 (10631 titluri)

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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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