Rules, Machine Learning, and the Best Way to Fight Fraud

For many years, rules-based systems were the preferred method of fraud fighting, but as fraudsters have become more sophisticated, an increasing number of businesses have turned to machine learning. This webinar will walk through the differences between rules and machine learning systems and discuss the pros and cons of both with insights from Paul Curwen, Risk Director at Omise.

In this webinar, you’ll learn:

  • The pros and cons of rules and machine learning systems for fraud prevention
  • The benefits of switching from a rules to a machine learning system
  • How to seamlessly switch to machine learning – even if you have a long-standing rules system in place
  • How Omise’s chargeback rate has significantly decreased since implementing Sift Science
  • How Omise’s full-time fraud team has decreased from four people to one

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