by Daniel Jeffries | Oct 16, 2020 | Infrastructure, MLOps, Open Source
With every generation of computing comes a dominant new software or hardware stack that sweeps away the competition and catapults a fledgling technology into the mainstream. I call it the Canonical Stack (CS). Think the WinTel dynasty in the 80s and 90s, with...
by Valoh AI | Oct 12, 2020 | Infrastructure, MLOps
What is MLOps (briefly) MLOps is a set of best practices that revolve around making machine learning in production more seamless. The purpose is to bridge the gap between experimentation and production with key principles to make machine learning reproducible,...
by Tecton | Oct 1, 2020 | Feature Store, MLOps
Data teams are starting to realize that operational machine learning requires solving data problems that extend far beyond the creation of data pipelines. In Tecton’s previous post, Why We Need DevOps for ML Data, we highlighted some of the key data challenges that...
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