Hey, I am a CEO of an MLOps startup called neptune.ai.

Spent the last few weeks thinking about that “Machine Learning Operations (MLOps): Overview, Definition, and Architecture” paper.

Finally wrote down my thoughts.

wdyt? see the same things, or am I completely off here?

Loved the article. Specifically the chart of ML Knowledge vs. Software Eng knowledge. I don't know that I agree that ML is just a special type of software, but regardless I'm with you on "Model monitoring tools will merge with the DevOps monitoring stack. Probably sooner than you think."