The important thing is what they do with it:
At Airbnb, we use machine learning to build customer lifetime value models for guests and hosts. These models allow us to calibrate our marketing spend to expected return at very granular levels, down to the user, if we like.
That's scary.
related article: http://www.kdnuggets.com/2017/01/current-state-automated-mac...
up voted and copied to: https://ncomputers.org/news :D
Data Robot is definitely cool but you have to be careful you aren't overfitting via hyperparameter tuning.
I think where we'll really start to see the needle move is when we'll have more automated feature engineering. The 'data wrangling' involved here is by far the most expensive part of the process but also best way to improve model performance.