Name
Predictive Analytics: Eliminating Your AML Blind Spots
Date & Time
Monday, September 19, 2022, 10:20 AM - 11:05 AM
Moderator:
Wren York
Description

In today’s ever-broadening risk landscape, AML leaders must manage a long list of challenges. Balancing the demands of a robust client risk-rating methodology and an effective suspicious activity monitoring and reporting program, along with staying ahead of evolving regulatory requirements, tests all AML compliance organizations. Compounding matters is the complexity of identifying and tackling the inherent blind spots inside and outside the organization.  Join this panel of experts and learn how embedding artificial intelligence, data mining, machine learning, modeling, and statistics into an AML program can:

  • Establish better risk identification across a financial institution’s client portfolio
  • Break the endless cycle of reacting to unusual or suspicious transactional activity
  • Harness the power of descriptive, predictive, and prescriptive analytics to increase efficiency
  • Better mitigate known blind spots in the organization and within the financial crimes program
  • Identify unknown blind spots and determine the best approach for mitigating risk exposure