Name
Fraud Track – Discovering Unknown Unknowns Through Advanced Analytics
Date & Time
Tuesday, September 14, 2021, 3:15 PM - 4:00 PM
Moderator:
David Mattei
Description

The volume of data generated annually continues to grow exponentially. It includes personally identifiable information, transaction data, online behavior, and many other types. And fraud attacks continue to evolve rapidly, reducing the effectiveness of static defenses. A significant challenge of growing data sets and a fluid fraud environment is dynamically identifying the data signals that are indicative of fraud to approve the good and decline the bad. Artificial intelligence and machine learning promise to connect the dots and unlock the value of the data. But how is this done without introducing biases in the process? This session explores ways to adopt advanced analytics to intelligently mine one’s data and unlock its power.