Data is everywhere and one of the most difficult challenges when it comes to machine learning is how to organize that data in a central location where teams can collaborate and work together.
In this session, we will discuss how a feature store, with its multiple data sources and diversity of connectors, streaming data, and more; allowing teams to work together, share information, and complement each other's work.
An elaborated machine learning pipeline doesn't have to be complex, but rather a transparent structure and contributes to the scalability of models in production for any size organization.
The Feature Store is the essential part of AI infrastructure that helps organisations bring modern enterprise data to analytical and operational ML systems. It is the simplest most powerful way to get your models to production. From anywhere, to anywhere.From months, to minutes.