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AI for regulatory change: Discover the why, what and how

Since the financial markets collapse of 2008, the financial services sector has been engulfed in new rules and regulations. Compliance teams must track regulatory data, and assess the impact of every regulatory requirement, to avoid breaches and punitive enforcement fines.

With 45 new regulatory documents to deal with every week, and more than 53,000 regulatory updates issued every year, manual approaches to monitoring regulatory intelligence and managing regulatory change are putting financial services businesses at risk.

Join the webinar and learn the following from regulatory change expert and CUBE’s Head of Product Management, Elliot Burgess:

  • Why AI is the only answer to addressing big data compliance challenges, at scale
  • What elements of AI are driving value in regulatory change management for Risk and Compliance teams
    (e.g. Machine Learning, Natural Language Processing, Robotic Process Automation)
  • How regulated financial institutions are utilizing AI today to ease and accelerate regulatory change processes

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