AI skills are a problem. AutoML can help

O'Reilly just released its annual AI Adoption in the Enterprise survey, and the results are mostly unsurprising. For example, data scientists from organizations with mature artificial intelligence practices tend to turn to scikit-learn, TensorFlow, PyTorch and Keras. Also, supervised learning (82%) and deep learning (67%) were the most popular techniques used by survey respondents, whatever their phase of AI adoption. The biggest barrier to enterprise success with AI is difficulty finding people with the requisite skills. This is the exact same thing that plagues adoption in every technical market as a technology takes off.