The Importance of Monitoring in Machine Learning

Every large scale data system these days is intimately worried about model monitoring. It's the black boxness of ML that means it's all the more important. You see what's coming out as well as going in. Exactly. And explainability is really hard. I can run bunch of, you know, I get fresh data into the system, get results, but not really know why the model got to those specific results. So observability becomes and monitoring and be kind of more critical part of that. Yeah. Every software in the world should think about monitoring and observability and what is actually happening in the system. Because when things go south, you want to know before the customer is being