Learn what differentiates machine learning technologies and get a sneak preview of Kount’s latest Boost™ Safety Rating.

Let’s be honest, machine learning is getting commoditized. Everybody’s doing it. But just how well is it being done? Well, it takes more than a class of algorithms to stop fraud. It takes the right data, technology features, and dedicated card-not-present fraud resources. To really understand how this “black box” technology works we’re bringing a data scientist and a merchant fraud analyst to the forefront of this topic.

Attend this webinar to learn how to leverage machine learning to successfully thwart fraud attempts. We’ll discuss:

  • When it’s appropriate to use machine learning to detect fraud
  • What is needed for machine learning to successfully identify fraud
  • The difference between supervised and unsupervised machine learning
  • Why feature engineering is more important than algorithms


Josh Johnston
Josh JohnstonManager of AI Science
Jay Smith
Jay SmithFraud Prevention Team Leader
Young Living Essential Oils


Shane Westwood
Melayna GabiouMarketing Director

Who should watch:

Payment Managers, Fraud Managers, Risk Managers, E-commerce Managers, M-commerce managers, Finance Professionals, IT/Operations