Webinar: An executive guide on how to use machine learning and AI for AML compliance
Global financial institutions have spent billions on people, processes and technology to detect and prevent money laundering, yet every year federal regulators fine these same organizations millions for failures in their AML compliance programs, including failing to detect and report suspicious transactions.
For many, the issue is that they rely on rules-based detection to identify suspicious behaviors, which often lead to an onslaught of false-positives that need to be reviewed and dismissed by compliance staff.
But things are changing. Increasing use of machine learning (ML) and artificial intelligence (AI) in the detection and prevention of financial crimes is providing the opportunity to perform massive computations and detect patterns that were previously undetectable with rules-based analytics.
In this introductory webinar, Khaled Ghadban, Practice Director, Analytics and Data Science Consulting, and Josip Psihistal, Data Scientist and AI Consultant at CaseWare Analytics, will provide an introduction on how data science uses models and patterns to detect anomalies and how the responses to these can be used to prevent future suspicious transactions or false-positives.
This webinar is designed for senior compliance executives who are required to have sufficient knowledge of data science to enable a more data and analytic-driven approach to fighting money laundering and other financial crimes.
Date: September 18, 2018
Time: 11:00 a.m. - 12:00 p.m. EDT
Presenters: Khaled Ghadban, Practice Director, Analytics and Data Science Consulting, CaseWare Analytics
Josip Psihistal, Data Scientist and AI Consultant at CaseWare Analytics