The last few years saw the maturation of a core component of the MLOps stack that has significantly improved the ML production workflows: feature platforms. A feature platform handles feature engineering, feature computation, and serving computed features for models to use to generate predictions.

LinkedIn, for example, mentioned that they���ve deployed Feathr, their feature platform, for dozens of applications at LinkedIn including Search, Feed, and Ads. Their feature platform reduced engine...