Fraud Detection
When it comes to fraud detection, training an accurate ML model is only the beginning. To ensure its effectiveness, you must supply the model with up-to-date features computed from the latest data. Building a real-time feature pipeline is a massive undertaking: It requires many months of work from specialized platform teams. Even then, the results may be less than ideal. Real-time feature pipelines frequently face issues like poor feature freshness and online/offline skew. This is exactly the type of weakness fraudsters will exploit to avoid or delay detection! Feldera's unique incremental compute engine solves both challenges out-of-the box, making it an ideal compute platform for fraud detection teams. With Feldera, even lean data teams can ship complex real-time feature pipelines within days. Feldera delivers perfect feature freshness and zero online/offline skew while processing millions of events per second. Let's find out how this works!