Whether operating independently or as part of a larger organized crime ring, today's cybercriminals aim to take advantage of lucrative opportunities. As the target of escalating attacks, financial institutions (FIs), processors, retailers, and corporations are turning to machine learning platforms in their fight against fraud and money laundering. Representing the next generation of detection and mitigation, machine learning platforms enable businesses to harness their customer data and apply advanced analytical techniques that can adapt as fraud evolves.
Register today for this live webinar and join Julie Conroy, Research Director, Aite Group and Kedar Samant, Senior Director, Risk Platform, Simility, a PayPal Service, as they discuss ML platforms and take a deeper look into Aite Group's recently released AIM Evaluation: Fraud and AML Machine Learning Platform Vendors report and explore:
- The importance of machine learning in the fight against financial crime
- What to look for when selecting a machine learning platform
- Key capabilities that have made Simility a best in class machine learning platform vendor
- How companies are leveraging Simility's state-of-the-art machine learning platform to solve complex fraud problems