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.
Tipo de material:
TextoSeries Lecture Notes in Networks and Systems ; 1071Editor: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edición: 1st ed. 2024Descripción: XI, 561 p. 289 illus., 233 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783031664106Tema(s): Computational intelligence | Engineering -- Data processing | Management | Computational Intelligence | Data Engineering | ManagementFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q342Recursos en línea: Libro electrónico
En: Springer Nature eBookResumen: 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.
| Tipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
|---|---|---|---|---|---|---|---|
| Libro Electrónico | Biblioteca Electrónica | Colección de Libros Electrónicos | 1 | No para préstamo |
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.
UABC ; Perpetuidad
