Description
• Examining potential systemic causes of excessive false positive generation such as inadequate legacy systems or miscalibrated risk models to develop data-driven response plans
• Supplementing rules-based monitoring with artificial intelligence, machine learning and predictive modeling to enhance oversight accuracy and efficiency and reduce false positives
• Auditing results of false positive mitigation efforts to identify and rectify potential unfavorable outcomes such as algorithmic deficiencies that produce unjustified false negatives
Moderator(s):
Speaker(s):
- Gason
Awad,
Vice President, Product Strategy,
Fiserv
- Jason
A. Frantz,
CAMS,
Senior RCA Manager - AML,
US Bank
- Rock
T. Magleby-Lambert,
CAMS,
Senior Vice President, Quantitative Analysis and Modeling Group Manager,
PNC Bank
