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

Join Julie Conroy, Aite Group, and Swastik Bihani, Simility, 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. We'll 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.