This looks fun and certainly simple - but I would guess that for many, the actual training of the model is not the show-stopped before "automated, data-driven decisions and data-driven applications are going to change the world."

If you already have clean data in tabular form, with a single target class to predict, and enough training data, the last step was always sort of easy. Much harder is the fact that people expect Big Data and ML to be fairy dust, just give it my DB password and MAGIC comes out. And instead of a clean two-class classification problem you have some ill-defined a bit of clustering, a bit of visulisation and a bit pure guessing -problem.