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:
Other episodes:
Featureform and the Future of MLOps with Simba Khadder