Guardian Analytics® to Host Explainable Machine Learning Models Webinar Featuring Kaufman Rossin and VivoSecurity on October 24th

MOUNTAIN VIEW, Calif., Oct. 21, 2019 /PRNewswire-PRWeb/ -- Guardian 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, today announced an upcoming executive webinar "Explainable Machine Learning ? AML & Fraud Models."

On December 3, 2018, FinCEN issued a Joint Statement on Innovation to promote responsible innovation and creative solutions to combat money laundering and terrorist financing. Learn how your financial institution can stay ahead of the fraudsters from AML and fraud experts in Machine Learning Models Validation, Jason Chorlins, Principal and Banking Practice Leader, Risk Advisory Services at Kaufman Rossin, Dr. Thomas Lee, Chief Executive Officer at VivoSecurity, and Eric Tran-Le, VP of Product Management at Guardian Analytics.

"In 2018, FinCEN SAR statistics reports 2.7 million SARs & CTRs have been filed by Depository Institutions alone, less than 4% are being followed up by law enforcement agencies according to a Bank Policy Institute Survey on 19 major banks," said Eric Tran-Le, VP of Product Management at Guardian Analytics. "Explainable AI and Machine Learning are needed to produce significantly fewer alerts and better SARs quality. Ultimately, increasing case investigation efficiency and explainability for examiners while fostering collaboration between Fraud and AML teams."

In this webinar, our experts will discuss where fraud and AML workflows converge and diverge, AI/ML data preparation and model validation requirements, and a migration path to AI/ML.

To reserve your spot for the webinar, please click 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 http://www.GuardianAnalytics.com.

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

SOURCE Guardian Analytics