Mountain View, CA, September 3rd, 2019Guardian Analytics, the market leader in real-time behavioral analytics and machine learning solutions for banking payment fraud detection, anti-money laundering, and enterprise B2B portal fraud, announces a luncheon on Explainable Machine Learning, the Difference between Fraud & AML at the ACAMS 18th Annual AML & Financial Crime Conference in Las Vegas, Nevada on September 23-25, 2019.

Guardian Analytics will host a luncheon on Explainable Machine Learning with Jason Chorlins, Principal & Banking Practice Leader, Risk Advisory Services at Kaufman Rossin, and Dr. Thomas Lee, Chief Executive Officer at VivoSecurity.

Machine Learning applied to Fraud & AML is a risk-based approach to Financial Crimes Detection. The established risk policy to perform alerts disposition and create cases has to be supported by the model accuracy and its interpretability which constitute its explainability” said Eric Tran-Le, VP of Product Management.

During this session, attendees will learn key Fraud detection & AML use cases using Machine Learning, where the Fraud & AML detection models converge and diverge, the impact of alerts & case management workflows.

The Guardian Analytics Explainable Machine Learning Luncheon will take place on Tuesday, September 24th from 12:50-2:00pm at ACAMS 18th Annual AML & Financial Crime Las Vegas Conference at the Aria Resort and Casino. Attendees can arrange a meeting in advance with a Guardian Analytics AML and fraud experts during the event.

Schedule a meeting here.
Register for the luncheon here.

About Guardian Analytics®
Guardian Analytics is the pioneer and leading provider of behavioral analytics and machine learning solutions for preventing banking fraud and anti-money laundering.  Hundreds of financial institutions have standardized on Guardian Analytics’ innovative solutions to mitigate fraud risk and rely on the company to stop the sophisticated criminal attacks targeting retail and commercial banking clients. With Guardian Analytics, financial institutions build trust, increase competitiveness, improve their customer experience, and scale operations. Guardian Analytics is privately held and based in Mountain View, CA. For more information, please visit www.GuardianAnalytics.com.

Guardian Analytics is a registered trademark of Guardian Analytics, Inc.