Feature Stores have become an important component of the machine learning lifecycle. They have been particularly pivotal in bridging the gap between data engineering and machine learning workflows(experimentation, training and serving). This talk will explore Feature Stores with a focus on their evolution, what they look like now and what they could look like in the future with the advent of the AI ACT.
Affiliation: Zalando SE
I'm an Engineering Manager in the Machine Learning Platform team in Zalando where I build tools to make it easier for ML engineers, researchers and data scientists to be more productive and compliant.