Unlocking Insights: AI/ML Applications in Regulatory Reporting for US Banks

Authors

  • Sanjeev Prakash RBC Capital Markets, USA Author
  • Selvakumar Venkatasubbu New York Technology Partners, USA Author
  • Bhargav Kumar Konidena StateFarm, USA Author

DOI:

https://doi.org/10.60087/jklst.vol1.n1.p184

Keywords:

Artificial Intelligence, Machine Learning, Regulatory Reporting, US Banks

Abstract

This paper explores the applications of Artificial Intelligence (AI) and Machine Learning (ML) in regulatory reporting for banks in the United States. As banks grapple with increasing regulatory requirements, AI and ML technologies offer opportunities to streamline reporting processes, improve accuracy, and unlock valuable insights from vast amounts of financial data. By leveraging AI/ML techniques, banks can enhance regulatory compliance while optimizing resource allocation and decision-making. This paper examines key AI/ML applications in regulatory reporting, discusses their benefits and challenges, and highlights the implications for banks and regulators alike.

Downloads

Download data is not yet available.

Downloads

Published

30-03-2023

How to Cite

Prakash, S., Venkatasubbu, S., & Konidena, B. K. (2023). Unlocking Insights: AI/ML Applications in Regulatory Reporting for US Banks . Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online), 1(1), 177-184. https://doi.org/10.60087/jklst.vol1.n1.p184

Most read articles by the same author(s)

1 2 > >>