How Uber built its ML data supply chain: lessons from the Michelangelo feature store

from Leaders Insights — Data · host Leaders Insights

Uber's Michelangelo platform forced the company to confront a problem most ML teams hit eventually: the same features being rebuilt repeatedly by different teams, with no shared infrastructure underneath. The decisions Uber made in 2017 and 2018 still define how serious organisations think about feature stores today.

Episode metadata supplied by the publisher feed · Published Jul 31, 2026

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How Uber built its ML data supply chain: lessons from the Michelangelo feature store

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