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MLOps

3 statements across 3 episodes · 0 bullish · 0 bearish · 3 people on the record · first statement Oct 27, 2021 by John Wu · across every show →

Everything said about MLOps, oldest first

Oct 27, 2021 neutral
Assertion Not checkable as stated
Wu: Point solutions proliferate in early-stage MLOps and ModelOps commercialization
“What, you know, within, within model ops and ML ops tooling is still in pretty early days in terms of commercialization, but from our perspective, we're seeing a lot more point solutions pop up around different parts of the machine learning and you know, broad…”
John Wu Oct 27, 2021 ▶ 26:21 Top 10 Trends in AI, Machine Learning and Data for 2022
Mar 23, 2023 neutral
Prediction Not checkable as stated
Turck: The MLOps startup category is likely to consolidate
“I think MLOps in general, that's, you know, just in our chart, there's probably, I don't know, 25, 30 companies in MLOps. That's probably going to Consolidate.”
Matt Turck Mar 23, 2023 ▶ 6:45 The 2023 MAD (Machine Learning, Artificial Intelligence & Data) Landscape
Jul 5, 2023 neutral
Insight
Enterprise MLOps requires batch retraining and drift management, not just APIs
“A misconception is that moving a model in projection is about turning a model into an API, which is of course, one step, but also in many instances, it's about robustifying models that can be applied in a batch fashion, robustifying the fact of automating the …”
Florian Douetteau Jul 5, 2023 ▶ 13:29 The Single Platform for Everyday AI - Fireside Chat with Florian Douetteau (Dataiku) & Matt Turck
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