Featureform and the Future of MLOps with Simba Khadder

Eric Anderson (@ericmander) and Simba Khadder (@simba_khadder) explore Featureform, the “virtual” feature store platform that aims to standardize data pipelines for machine learning. Contributor is no stranger to feature stores, but Simba has a broader definition than most. Join us to learn how Featureform enables data scientists and machine learning practitioners to solve a common, but rarely addressed organizational problem. Subscribe to Contributor on Substack for email notifications, and join our Slack community! In this episode we discuss: How there is no standard or north star for MLOps Why enterprise is where Featureform’s value shines MLPlatform problems vs MLOps problems Why copy/paste and Git don’t cut it Deploying MLOps solutions that make data scientists and everyone else happy Links: Featureform Terraform Apache Spark Feathr Other episodes: Tensorflow with Rajat Monga