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.