Anti-Money Laundering Alert Triage

Logo
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.
Related topics:

More from this channel

Upcoming talks (0)
On-demand talks (265)
Subscribers (55727)
Dataiku is the world’s leading platform for Everyday AI, systemizing the use of data for exceptional business results. Organizations that use Dataiku elevate their people (whether technical and working in code or on the business side and low- or no-code) to extraordinary, arming them with the ability to make better day-to-day decisions with data. More than 450 companies worldwide use Dataiku to systemize their use of data and AI, driving diverse use cases from fraud detection to customer churn prevention, predictive maintenance to supply chain optimization, and everything in between.