Solutions Architect, Enterprise Architecture, Anecca Ideas Corp, Toronto, Canada.
World Journal of Advanced Engineering Technology and Sciences, 2025, 15(02), 1664-1683
Article DOI: 10.30574/wjaets.2025.15.2.0427
Received on 19 March 2025; revised on 26 April 2025; accepted on 29 April 2025
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.
Artificial Intelligence; Data Integrity; Risk Management; Machine Learning and Data Governance
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Firoz Mohammed Ozman. Systematic literature review on the critical role of data integrity in AI-driven enterprises. World Journal of Advanced Engineering Technology and Sciences, 2025, 15(02), 1664-1683. Article DOI: https://doi.org/10.30574/wjaets.2025.15.2.0427.