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):

• Kyle T. Daddio, CAMS, Chief AML Officer, Interactive Brokers

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