Data and AI: addressing increasing regulation for smarter compliance

In today’s interconnected and digital world, managing risk and regulatory compliance is an increasingly complex and costly endeavour. According to Deloitte, costs of compliance have risen by more than 60% since 2008, meaning it is imperative that financial institutions find innovative ways to increase efficiency when dealing with regulatory change, fraud and anti-money laundering (AML). Rising costs also impede financial institutions’ abilities to innovate and can lead to higher prices on existing products. That is where artificial intelligence (AI) applications and strong data infrastructure can make all the difference in a highly regulated environment.

A modernised approach to risk and compliance requires a robust data strategy defined by a holistic view into data governance and risk, real-time insights for rapid response and scalable analytics to get ahead of issues before they arise.

It’s not enough to just find best practices now, but financial firms would be wise to future-proof their compliance needs through tools such as machine learning and natural language processing in the rising tide of regulation. This webinar highlights data and AI use cases to regulatory obligations such as the Fundamental Review of the Trading Book, the Comprehensive Capital Analysis and Review, the Anti-Money Laundering Act 2020, Basel III and more.

This webinar features leading compliance and risk management professionals and focuses on how firms can handle regulatory change management, fraud prevention, AML and other compliance needs through the use of an optimal data and AI foundation built for speed and scale.

Sponsored content