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
Young Living Essential Oils
Who should watch:
Payment Managers, Fraud Managers, Risk Managers, E-commerce Managers, M-commerce managers, Finance Professionals, IT/Operations