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 modern data team consists of Data Engineers, Data Scientists, Machine Learning Engineers, and Business Analysts, but effective collaboration is challenging. In this talk we will show how a centralized data platform helps solve these issues.
Hopsworks Feature Store is available both on AWS and Azure as a managed platform.
You can register for free, without having to enter payment details.