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Feature Platforms for Data-Centric AI with Mike Del Balso - #577
FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Feature Platforms for Data-Centric AI with Mike Del Balso - #577
FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
ratings:
Length:
46 minutes
Released:
Jun 6, 2022
Format:
Podcast episode
Description
In the latest installment of our Data-Centric AI series, we’re joined by a friend of the show Mike Del Balso, Co-founder and CEO of Tecton. If you’ve heard any of our other conversations with Mike, you know we spend a lot of time discussing feature stores, or as he now refers to them, feature platforms. We explore the current complexity of data infrastructure broadly and how that has changed over the last five years, as well as the maturation of streaming data platforms. We discuss the wide vs deep paradox that exists around ML tooling, and the idea around the “ML Flywheel”, a strategy that leverages data to accelerate machine learning. Finally, we spend time discussing internal ML team construction, some of the challenges that organizations face when building their ML platforms teams, and how they can avoid the pitfalls as they arise.
The complete show notes for this episode can be found at twimlai.com/go/577
The complete show notes for this episode can be found at twimlai.com/go/577
Released:
Jun 6, 2022
Format:
Podcast episode
Titles in the series (100)
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