Automation in Regulatory Reporting: AI/ML Techniques and Implementation Strategies

EasyChair Preprint 12825

Abstract

Regulatory reporting is a critical aspect of various industries, ensuring compliance with laws and regulations while providing transparency and accountability. In recent years, Artificial Intelligence (AI) and Machine Learning (ML) technologies have emerged as powerful tools for automating regulatory reporting processes, offering opportunities to enhance efficiency, accuracy, and compliance. This research paper explores the landscape of automation in regulatory reporting, focusing on AI/ML techniques and implementation strategies. It examines the various applications of AI/ML in regulatory reporting, discusses implementation challenges and opportunities, and offers insights into best practices for successful adoption.

Keyphrases: Artificial Intelligence (AI), Automation, Regulatory Reporting

@booklet{EasyChair:12825,
  author    = {Kiswah Noor and Anthony Lambert},
  title     = {Automation in Regulatory Reporting: AI/ML Techniques and Implementation Strategies},
  howpublished = {EasyChair Preprint 12825},
  year      = {EasyChair, 2024}}