A profiling adventure to speed up GoAt Ravelin, we catch fraudsters using machine learning. We extract hundreds of different signals from data that our clients send us — such as the prior fraudulence of a location, the number of devices in a customer’s graph network — in real time through our feature extraction service. We then pass these features through our trained models to produce a likelihood of fraud. By Rob Baines https://git
