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Monday, December 3 • 2:00pm - 2:30pm
Reducing False Positives in Transactions with Deep Fraud Detection

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Fraud is a critical issue in financial services, at an estimated $15-25 Billion size for the industry in 2017. Fraud detection and management has typically been performed using a combination of business rules and traditional machine learning. However, such solutions invariably generate a large number of costly false positives. We will present a solution architecture that combines automated machine learning, deep feature synthesis and streaming analytics to power a scalable, deployable deep fraud detection system.

avatar for Anshuman Mishra

Anshuman Mishra

Principal Data Scientist, Tibco Software, Inc.

Monday December 3, 2018 2:00pm - 2:30pm CST
(6) Xenon Room (Floor 6) Science Museum of Minnesota, 120 W Kellogg Blvd St. Paul, MN 55102