The Enhanced Analytics in AML Risk Manager by Fiserv helps financial institutions efficiently manage money laundering risks by using machine learning to prioritize and process suspicious activity alerts. The solution reduces false positives by 10-20%, allowing analysts to focus on high-risk alerts. It combines behavioral analytics with supervised machine learning to improve detection and alert prioritization. Key features include automatic alert processing, model retraining, and visualizations to aid decision-making. This approach streamlines operations, reduces costs, and enhances compliance with global regulations.

Join for free to read