Today's Deep Learning Frameworks Won't Change The Machine Learning Adoption Curve

Frameworks are only an intermediary step to the wider adoption of machine learning in applications. What's needed are more visual products and those are still a couple of years away. The current machine learning (ML) focus on frameworks is a middle step in the needed evolution of the productization of ML and its inclusion through the application environment. In order to truly succeed, the ML vendors need to think more like a business user and less like a programmer. One way to start is to learn the lesson the business intelligence (BI) sector provides.