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Revolutionizing Regulatory Reporting Through AI/ML

EasyChair Preprint no. 12627

8 pagesDate: March 20, 2024


Regulatory reporting is a critical aspect of various industries, ensuring compliance with laws and regulations while providing transparency and accountability. However, traditional methods of regulatory reporting often suffer from inefficiencies, high costs, and human errors. This paper explores how Artificial Intelligence (AI) and Machine Learning (ML) technologies are revolutionizing regulatory reporting processes. By leveraging AI/ML, organizations can streamline reporting procedures, enhance accuracy, and mitigate compliance risks. This paper investigates the current landscape of AI/ML applications in regulatory reporting, identifies key challenges, and discusses future directions for research and implementation.

Keyphrases: Artificial Intelligence (AI), Compliance, Machine Learning (ML), Regulatory Reporting

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Kiswah Noor and Takara Nakai},
  title = {Revolutionizing Regulatory Reporting Through AI/ML},
  howpublished = {EasyChair Preprint no. 12627},

  year = {EasyChair, 2024}}
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