BROADCASTS.com

Eric Anderson (@ericmander) and Simba Khadder (@simba_khadder) explore Featureform, the \u201cvirtual\u201d 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:

\n
• How there is no standard or north star for MLOps
\n
• Why enterprise is where Featureform\u2019s value shines
\n
• MLPlatform problems vs MLOps problems
\n
• Why copy/paste and Git don\u2019t cut it
\n
• Deploying MLOps solutions that make data scientists and everyone else happy
\n

Links:

\n
• Featureform
\n
• Terraform
\n
• Apache Spark
\n
• Feathr
\n

Other episodes:

\n
• Tensorflow with Rajat Monga
\n