MITIGATING RISK IN REGULATORY OPERATIONS: A DATA-DRIVEN APPROACH TO SUBMISSION READINESS

Abstract

This paper examines the impact that data-driven approaches such as AI and predictive
analytics have on regulatory operations risk mitigation. Readiness, efficiency and regulatory
change are analysed concerning how the technologies improve. The implementations of Pfizer,
HSBC and Unilever are shown by case studies, and there is proof that technologies have led to
compliance and risk management. The final discussion of the study also covers some of the
challenges and potential limitations of using such technologies and provides recommendations for
future research and practice. Such research can then lead to the conclusion that data-driven
solutions can be adopted in the mitigation impact of the regulation and in improving the regulation
process itself.