 But what goes into making sure your data is good enough to train the model, is good enough to do the things you need it to do? So I'm seeing two kinds of challenges right now. The first even is a step before that, right? It's the challenges around having data within different locations. They have challenges with siloed data. They don't have access to all the data necessarily available.