Fishing the Data Lake? Cast a Smarter Net to Catch Fraud

Have you heard of a new frontier in fraud detection? Join Julie Conroy, Aite Group, and Swastik Bihani, Simility, on to learn how companies are using machine-learning models and behavioral analytics across a wide variety of structured and unstructured data to accurately detect fraud and suspicious activity.

You’ll see how you can easily clean, transform, enrich, and deep dive into all the related suspicious activity that makes a potential transaction suspect.

They will cover how these techniques yield insights from professionals in threat detection, fraud, security, and compliance use cases. Whether in a private cloud or on premise, you’ll see how your analytics stack can become clean, flexible, and accessible through an easy-to-use UI—no coding required.

Click here to register for this webinar!

September 14, 2017
Thursday, September 14, 2017 at 1 p.m. ET

Julie Conroy is research director for Aite Group’s Fraud & AML practice and covers fraud, data security, anti-money laundering, and compliance issues.