Webinar | Demystifying Machine Learning for Fraud Detection
The rapidly changing cybercrime landscape has required organizations to seek new methods, such as machine learning, that enable systems to learn, adapt, and uncover emerging fraud patterns quickly. However, there are many debates about the merits of machine learning models for fraud detection and which one works best. The bottom line: it's not about the model, but what's behind it that makes it work.
So how do you cut through the machine learning hype? As you start to evaluate fraud prevention solutions and the advantages of the machine learning models they offer, there are several questions you should be prepared to ask.
Register for this upcoming webinar and hear from leading experts on:
- The misconceptions about machine learning models
- The risks of building your own model
- How to optimize machine learning for fraud detection
- Top questions to ask solution providers