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AI-Driven Smart Management Processes: Transforming Decision-Making and Shaping the Future.

Authors :
Shukla, Ankita
Agnihotri, Alka
Source :
Library of Progress-Library Science, Information Technology & Computer; Jul-Dec2024, Vol. 44 Issue 3, p5471-5493, 23p
Publication Year :
2024

Abstract

This article investigates the evolution, expansion, and future directions of AI-powered smart management procedures. Because of the rapid breakthroughs in artificial intelligence (AI), organisations in a variety of industries have begun to employ AI technologies to improve their management practices. This article investigates the evolution, expansion, and future directions of AI-powered smart management procedures. Because of the rapid breakthroughs in artificial intelligence (AI), organisations in a variety of industries have begun to employ AI technologies to improve their management practices. This study investigates how artificial intelligence has altered traditional management procedures, resulting in more efficient, data-driven decision-making. It also goes through the obstacles and opportunities that come with deploying AI-powered smart management practices. Furthermore, the article investigates the probable future orientations of AI in management and provides insights into AI's evolving role in influencing the future of work and organisations. The importance of AI in responsible and sustainable management. This research study seeks to give significant insights for organisations and managers wanting to harness AI technology for improved decision-making and operational efficiency by examining the evolution, expansion, and future directions of AI-driven smart management processes. It also emphasises the significance of AI adoption that is responsible and ethical in order to overcome potential issues and maximise the benefits of AI-driven management practises. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09701052
Volume :
44
Issue :
3
Database :
Complementary Index
Journal :
Library of Progress-Library Science, Information Technology & Computer
Publication Type :
Academic Journal
Accession number :
180917736