Feature stores enable companies to make the difficult leap from research to production machine learning. At their best, feature stores allow you to code up your features once, then use them for training and production, and share them between models. You can quickly and reliably serve features to your production models so your customers aren’t waiting for predictions.
In this talk, we’ll walk through a common use case for Tecton, developing and fielding a fraud model. We’ve written a blog and included source code on it, so we’ll touch on the high points and save you the good stuff you can dive into at your leisure.