• Charting performance results of AI in AML including robotic process automation and machine learning to independently assess impact on compliance quality vs. hype
• Assembling internal expertise to mitigate limitations of AI in areas such as evaluating behavioral motivations and diminished ability to assess data quality
• Familiarizing compliance staff on AI strengths in areas such as data analytics and criminal pattern detection to optimize contribution to oversight efficacy

Moderator:

Angel Nguyen Swift, CAMS
Independent Consultant, Angel Swift Collaborations
Founder, Stand Together Against Trafficking (STAT)

Presenters:

Clyde Langley
Vice President, Fraud Risk Management
Charles Schwab

Melissa Leeds, CAMS
Threat Mitigation SME, Applied
Fundamental Consulting

Jeff Sidell
Chief Technology Officer
RDC