Feature Store Summit - Palette at Scale

Wednesday, October 13, 5:00pm - 5:30pm (EDT)

Time shown in-04:00 America, New York

This presentation is part of the Feature Store Summit.
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The Michelangelo ML Platform at Uber first introduced the concept of a Feature Store as a key component of the Machine Learning lifecycle. Since then, the Palette Feature Store has supported feature engineering needs across all major use cases at Uber. As the adoption rises, new challenges emerge.

In this talk, we present the continued advances of the Palette Feature Store that enables Feature Management at scale. We will deep dive into the scalability challenges emerging from Uber’s recommendation systems, the infrastructure we built to track the data quality of feature pipelines and models, and the mechanisms for enabling automatic selection of features from the feature store.

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Add to Calendar 2021/10/13 14:00:00 2021/10/13 14:30:00 America/Los_Angeles Feature Store Summit - Palette at Scale This presentation is part of the Feature Store Summit.
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The Michelangelo ML Platform at Uber first introduced the concept of a Feature Store as a key component of the Machine Learning lifecycle. Since then, the Palette Feature Store has supported feature engineering needs across all major use cases at Uber. As the adoption rises, new challenges emerge.

In this talk, we present the continued advances of the Palette Feature Store that enables Feature Management at scale. We will deep dive into the scalability challenges emerging from Uber’s recommendation systems, the infrastructure we built to track the data quality of feature pipelines and models, and the mechanisms for enabling automatic selection of features from the feature store. https://us02web.zoom.us/j/84897688570 false MM/DD/YYYY 30 OPAQUE apQfLtmRnzOiFbgoNmal132273

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https://us02web.zoom.us/j/84897688570

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