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Using Data, Machine Learning, and AI to combat fraud
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. You can't miss this.
In today's digital world, all risk problems are now data science problems. But what type of data do you need to effectively combat financial crime?
We gathered experts from Pleo, Novo and FINTRAIL to break out some practical examples of how to use data, AI and machine learning in your day to day to make your fraud and compliance operations more effective.
In this webinar, we'll discuss:
- Critical blindspots in financial crime prevention
- How criminals are exploiting the silos between fraud and AML teams
- Why data sharing across teams makes risk programs more effective
- Different ways to use data, AI, and machine learning in your day to day
- How to build specific controls targeting money muling, account takeovers, and synthetic IDs.
- The KPIs that matter and how to improve them
Tagged topics
Fraud
Compliance
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