Florent Piétot
Cofounder @Nibble
Florent is the co-founder of nibble where he participates in the development of spice, an innovative Feature Platform that enables organizations to manage the complexity of their Feature Engineering processes to accelerate the industrialization of their ML models. Very involved in the French MLOps ecosystem, he notably organizes events on these topics since 2018. His Product background allows him to approach AI industrialization challenges with an original perspective, integrating strategy, user experience and interdisciplinary collaboration.
Talk
How to scale Machine Learning Operations with Feature Stores ?
A Feature Store is a central component of large-scale Machine Learning for mature organizations, providing increased operational efficiency, consistency, and scalability.
More and more organizations are reaching a higher level of maturity regarding ML in production. We have discussed this topic with many organizations and observed a trend: many are wondering how a Feature Store could help them overcome critical challenges.
This presentation aims to improve understanding of Feature Stores by offering an overview of their anatomy, main benefits and pitfalls, internal workings, and different possible architectures. In addition to theoretical content, practical examples of real-world applications will be given throughout the presentation.
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