Do you like data? Do you want to do more with it?

Data can be your superpower. But how does that work practically?

Turns out it's a super power, and like all super powers you have to lean how to use it to get the most from it.

We gathered folks from the front lines of the fraud squad at Pleo, Novo and FINTRAIL to break out some practical examples of how to use data, AI and machine learning in your day to day fraud and compliance operations. Need to do more with AI? You can't miss this 👇.

In this webinar, we'll discuss:

• Fraud landscape today - the shape-shifting threat (Sophisticated threats like AI-powered phishing emails, deep fakes)
• Critical blindspots (Silos between fraud and AML teams, over-reliance on static data points and rules)
• Power of convergence: Creating a FRAML approach breaks down silos between fraud and AML teams, allowing more holistic financial crime risk management.
• Harnessing data: Quality real-time data across customer interactions is key for risk management and controls. Need large, clean datasets with device, transactional and behavioral data.
• Continual learning: AI and machine learning allow controls to adapt as new threats emerge, reducing false positives continually.
• Focus on vulnerabilities: Build specific controls targeting money muling, account takeovers, and synthetic IDs.
• Impact: Reduced losses, better consumer protection, lowered costs, and built trust.