Exploring the Role of Data Integrity in AI/ML-Powered Banking Innovations

  • Ayesha Said
Keywords: Data Integrity, Artificial Intelligence, Machine Learning, Banking, Innovations, Trust, Security, Compliance, Customer Experience, Operational Efficiency, Case Studies

Abstract

The rapid advancement of artificial intelligence and machine learning (AI/ML) technologies has ushered in a new era of innovation within the banking industry. AI/ML-powered solutions offer unprecedented opportunities for enhanced customer experiences, operational efficiency, and data-driven decision-making. However, as banks leverage these technologies to drive transformation, the critical role of data integrity becomes paramount. This paper explores the pivotal role of data integrity in AI/ML-powered banking innovations. It delves into the challenges, strategies, and best practices for ensuring data integrity throughout the AI/ML lifecycle. By analyzing real-world case studies and industry trends, this study highlights the significance of data integrity as a foundational pillar for building trustworthy, secure, and compliant AI/ML-powered banking solutions.

Published
2023-08-22
How to Cite
Ayesha Said. (2023). Exploring the Role of Data Integrity in AI/ML-Powered Banking Innovations . INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, 7(1), 140-160. Retrieved from https://ijcst.com.pk/index.php/IJCST/article/view/245
Issue
Vol. 7 No. 1 (2023): INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY (IJCST)
Section
Articles