Operationalizing Responsible AI and Data Governance in Enterprise Modernization

Authors

  • Rahul Jain Sr. Manager - Database Engineering Author

DOI:

https://doi.org/10.15662/gvbkgj96

Keywords:

Enterprise, Responsible AI, Modernization, Data Governance

Abstract

 In this research paper, the author examines the role of AI-driven cloud governance in reducing the operational cost and enhancing the reliability of the system in organizations. It adopts a qualitative method of investigating the impact of automation, predictive monitoring and compliance policies on the outcome of a business by interviewing and analyzing documents. The results indicate that the cost control, the time spent, and the quality of decision-making are helped by the structured governance with the assistance of AI tools. Some of the other difficulties in the study include the complexity of integrations and human supervision. In general, it can be concluded that AIbased governance has quantifiable efficiency and reliability advantages in terms of strategic implementation in the cloud.

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References

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Published

2025-11-19

How to Cite

Operationalizing Responsible AI and Data Governance in Enterprise Modernization. (2025). International Journal of Engineering & Extended Technologies Research (IJEETR), 7(6), 11306-11311. https://doi.org/10.15662/gvbkgj96