How to scale Machine Learning Operations with Feature Stores ?

Feature Store is a central component of Machine Learning at scale for mature organizations, providing increased operational efficiency, consistency, and scalability.

More and more organizations are reaching a higher level of maturity for ML in production. We have discussed this with many of these organizations and observed a trend of many people wondering about how a Feature Store would help them overcome critical challenges.

This talk aims to increase the audience's understanding of Feature Stores by providing a broad overview of their anatomy, key benefits, and pitfalls, how they work under the hood, and different possible architectures. Aside from theoretical content, practical examples from real-world applications will be given along the way.