Description

• Defining AI and how it complements traditional rules-based AML models to quantify potential improvements in risk mitigation

• Reviewing cases to detail AI’s potential to minimize confirmation bias in de-risking decision-making and enhance assessment accuracy

• Utilizing algorithmic analytics to supplement manual monitoring to flag anomalies such as transaction behavior changes and hasten alert issuance

Moderator(s):

• David Jasper, CAMS, Managing Director, Financial Crimes Compliance, Charles Schwab

Speaker(s):

• Vikas Agarwal, Principal, Financial Crime Technology, PwC
• Prasad Chintamaneni, Senior Advisor, Treliant Risk Advisors
• Jennifer Hanley-Giersch, CAMS, Managing Partner, Berlin Risk Limited