As machine learning technology matures and moves into the mainstream, analysts are attempting to figure out who within organizations is building machine learning models used in production and what tools and methodologies they are using. It turns out that those furthest down the learning curve have well established data science teams building machine learning models for production. Meanwhile, much ballyhooed AutoML services from Google and other cloud vendors are so far gaining little traction among enterprises, according to a recent survey of the state of machine learning adoption by O'Reilly Media. About half of survey respondents said their data science teams build machine learning models, indicating that those companies were further along in development and have adopted processes used for software development to build machine learning models. About three-quarters characterized their models as "sophisticated" while two-thirds described their data science teams as "early adopters" of machine learning technology.