MLOps vs DevOps: Why is MLOps different? (MLOps-2)

Hany Hossny, PhD
4 min readMar 29, 2022
MLOPs makes ML development continuous in a never-ending loop

ML operations aim to accelerate, scale and sustain model development, deployment and maintenace.

MLOps is a typical Dev-Ops process, which is the sequence of actions taking an ML project from development to production, except MLOPs has a different nature than Dev-Ops due to the reasons listed below.

  1. ML projects are experimental by nature, they require…

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Hany Hossny, PhD

An AI/ML enthusiast, academic researcher, and lead scientist @ Catch.com.au Australia. I like to make sense of data and help businesses to be data-driven