How to make the Feature Store become an invisible part of the productionalization of ML models
A discussion on the challenges of making the feature store disappear and become part of the workflow of data science and data engineering.
A discussion on the challenges of making the feature store disappear and become part of the workflow of data science and data engineering.
Feature stores are a new platform for managing data for AI applications, but the existing APIs and integrations are still in motion. As such, there is still work for adopters of feature stores to integrate their existing stacks with feature stores. In this panel, we will discuss the challenges of making the feature store disappear and become part of the workflow of data science and data engineering.
