Welcome to MLOps.org!
A resource for data science, operations & engineering, and business teams to understand and implement machine learning operationalization (MLOps) in the enterprise
M·L·Ops/ em el ahps / n.
1. (a compound of “machine learning” and “operationalization”) is the practice of operationalizing and managing the lifecycle of ML in production.
“MLOps is the only way to scale machine learning in production”
The Latest on MLOps
AI Is Compelling, But AI And Data Science Operations Must Improve

AI technology is starting to work really well. Unfortunately, I’ve found that the management of machine learning code, data sets and models — and the […]

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