DIaC: The Future of Data Governance and Integrity in Banking AI/ML Landscape

  • Huxley Haris
Keywords: Data Governance, Definition, Importance, Data Quality, Data Integrity, Data Security, Regulatory Compliance, Strategic Decision-Making, Data Stewardship

Abstract

Data governance stands as a cornerstone in the modern landscape of data-driven decision-making. In the context of an increasingly complex and interconnected world, where data fuels innovation and insights, the definition and significance of data governance have become paramount. This section delves into the essential understanding of data governance and elucidates its profound importance in ensuring data quality, integrity, security, and compliance. By establishing a solid foundation for effective data management and stewardship, data governance paves the way for informed strategic decisions, regulatory adherence, and sustainable business growth.

Published
2023-08-22
How to Cite
Huxley Haris. (2023). DIaC: The Future of Data Governance and Integrity in Banking AI/ML Landscape. INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 7(1), 347-369. Retrieved from https://ijcst.com.pk/index.php/IJCST/article/view/254