Systematic literature review on the critical role of data integrity in AI-driven enterprises

In today's world, AI plays a vital role in every industrial activity. The study has focused on understanding the role of data integration in AI-driven enterprises. It has explored the application of AI in financial risk management, data governance, cyber security, and health care while addressing the challenges related to Data integrity that involve ethical concerns and data bridges. The study followed a systematic literature review, which gathered information from the existing data sources. Findings have highlighted the need for a strong AI governance framework and high-quality data management for all organizations regarding the automatic AI potential while mitigating the risk. This research contributes to the development of sustainable AI-driven strategies for enterprises.

Authors

Publication Details

Journal
World Journal of Advanced Engineering Technology and Sciences
Published
2025-05-17
DOI
https://doi.org/10.30574/wjaets.2025.15.2.0427
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

Systematic literature review on the critical role of data integrity in AI-driven enterprises

Firoz Mohammed Ozman
World Journal of Advanced Engineering Technology and Sciences
Big Data and Business Intelligence
article

Systematic literature review on the critical role of data integrity in AI-driven enterprises

Firoz Mohammed Ozman
article en

Abstract

In today's world, AI plays a vital role in every industrial activity. The study has focused on understanding the role of data integration in AI-driven enterprises. It has explored the application of AI in financial risk management, data governance, cyber security, and health care while addressing the challenges related to Data integrity that involve ethical concerns and data bridges. The study followed a systematic literature review, which gathered information from the existing data sources. Findings have highlighted the need for a strong AI governance framework and high-quality data management for all organizations regarding the automatic AI potential while mitigating the risk. This research contributes to the development of sustainable AI-driven strategies for enterprises.

World Journal of Advanced Engineering Technology and SciencesVol. 15(2)
Openalex Percentile: Top 82%
Big Data and Business Intelligence
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