The new enhanced analytics in AML Risk Manager from Fiserv evaluate alerts based on machine-learning models, informed by historical outcomes of investigations, to accurately identify alerts as productive or nonproductive and then prioritize and process them appropriately. That enables analysts to focus on remediating high-risk alerts and manage risk more effectively.
Enhanced analytics combines behavioral analytics and rules-based alerts with supervised machine learning for the best possible outcome. In combination with the AML Risk Manager alert investigation portal, analysts can quickly and easily see the critical alert information necessary for holistic analysis and quick, accurate decision making.
Download the brochure to see how analytics capabilities in AML Risk Manager enable your institution to manage your money laundering risk in line with guidance from regulators and international organizations, making you more efficient and effective in fighting money laundering.
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