Machine Learning (ML) model code accounts for approximately 5% of the total code needed to train, deploy, and run ML models in production according to Google research. The goal of MLOps is a production-level process, similar to DevOps, but with data as a first-class citizen.
Robert Crowe, Tensorflow Developer Engineer, introduces TFX, an open-source project, in this 13 minutes I/O 2022 video. If you are interested in getting started with MLOps, this video is for you.
https://io.google/2022/program/8f7765f2-2357-4829-8c87-e54d81e999a0/
