AI’s Evolutionary Role in Data Management and its Profound Influence on Business Outcomes

Main Article Content

Chavali Pooja
Waqas Ali
Joydeep Mookerjee
Ria Mookerjee

Abstract

This systematic review paper explores the dynamic landscape of AI-driven data management implementations across diverse industries. It investigates the transformative impact of AI technologies on sectors including healthcare, manufacturing, transportation, construction, the public sector, human resource management, agriculture, and banking and finance. Through a comprehensive analysis of outcomes, research gaps, and critical assessments, we unveil the potential of AI-driven data management to reshape business processes, optimize decision-making, and foster innovation. While our findings underscore the promise of these technologies, they also underscore the pressing need for further research to bridge existing gaps and unlock their full potential. This paper is a valuable resource for decision-makers, researchers, and practitioners seeking to harness the power of AI-driven data management in an ever-evolving technological landscape.

Article Details

How to Cite
[1]
Chavali Pooja, Waqas Ali, Joydeep Mookerjee, and Ria Mookerjee, “AI’s Evolutionary Role in Data Management and its Profound Influence on Business Outcomes”, Int. J. Comput. Eng. Res. Trends, vol. 10, no. 7, pp. 22–31, Jul. 2023.
Section
Reviews

References

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