Anti-Money Laundering Alert Triage

Presented by

David Behar, Senior Data Scientist @ Dataiku and John McCambridge, AI Solutions Director @ Dataiku

About this talk

Anti-money laundering (AML) processes are complex and multifaceted and generate large numbers of alerts that must be investigated. Most generated alerts are ultimately not escalated for further review. Reducing the total number of false-positive alerts is a complex and heavily regulated process. Improvements in AML processes must occur at many points in the chain, and a modular solution that can be readily incorporated into existing flows to more efficiently process existing alerts is a means to improve detection rates and reduce alert fatigue, acting as the first step to AML set-up efficiency.

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