CI/CD for Machine Learning

Rosenbaum: This is the video of a machine-learning simulation learning to walk and facing obstacles, and it's there only because I like it. Also, it's a kind of metaphor for me trying to build the CI/CD pipeline. I'm going to be talking about CI/CD for machine learning, which is also being called MLOps. The words are hard, we don't have to really define these things, but we do have to define some other things and we're going to talk about definitions a lot actually. I'm going to start by introducing myself. I'm on the left, this picture is from DevOpsDays Chicago, our mascot is a DevOps Yak. You can come check out the conference. I work for Microsoft on the Azure DevOps team. I come from a developer background, and then, I did a lot of things with DevOps CI/CD and such. I'm not a data scientist, I did some classes on machine learning just so I can get context on this, but I'm coming to this primarily from a developer perspective. I also run another conference, this is a shameless plug, it's DeliveryConf, it's the first year it's happening, it's going to be in Seattle, Washington, on January 21 and 22. You should register for it right now because it's going to be awesome. The first thing I want to do is I want to set an agenda.