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

Ozman, Firoz Mohammed (2025) Systematic literature review on the critical role of data integrity in AI-driven enterprises. World Journal of Advanced Engineering Technology and Sciences, 15 (2). pp. 1664-1683. ISSN 2582-8266

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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.

Item Type: Article
Official URL: https://doi.org/10.30574/wjaets.2025.15.2.0427
Uncontrolled Keywords: Artificial Intelligence; Data Integrity; Risk Management; Machine Learning and Data Governance
Depositing User: Editor Engineering Section
Date Deposited: 04 Aug 2025 16:30
Related URLs:
URI: https://eprint.scholarsrepository.com/id/eprint/3873