Compliance organizations within banks and other financial institutions rely on ML to improve AML compliance programs. Today, the systems that aim to detect potentially suspicious activity are commonly rule-based and suffer from ultra-high false positive rates. In this Demo, Atalia Horenshtien will demonstrate how to address this challenge with the DataRobot AI platform:
Join us at booth 313 to learn:

• How to reduce false positive rates for AML use cases
• How to develop and refresh AML predictive models in a timely manner with explainability and insights
• How to deploy more accurate models, operationalize and govern AML models at scale