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):
