A Comprehensive Study of Data Governance and Integrity in Banking AI/ML

Abstract

As the banking industry embraces the transformative potential of Artificial Intelligence (AI) and Machine Learning (ML), the critical role of data governance and integrity becomes increasingly apparent. This comprehensive study explores the intricate interplay between data governance, data integrity, and AI/ML within the context of banking. Leveraging a multidimensional approach, this study investigates the strategies, mechanisms, and best practices that underpin the seamless integration of AI/ML while upholding the principles of data governance and integrity. By delving into real-world applications, challenges, and regulatory considerations, this study offers valuable insights for banking institutions seeking to harness the power of AI/ML while safeguarding the sanctity of their data assets.