A Data Science Central Community
Sounds promising, but I think that the training step should not be automatic. There are many issues with both data quality and model selection, so human judgment (and expert judgment as a matter of fact) is a very important component of the whole modeling process. Using the trained model to make predictions online is great I agree, but I feel that an out-of-the-box training algorithm used on a set of "raw" data would produce a model of poor quality. Of course the clients would still be able to upload their data through the Net for the experts to model.
We have now some experience from the market and it has vindicated Vincent's original architecture. We found that the market is most interested in rapid consumption of a best know method for a particular business process problem. For consumption through a service (the acronym for Analytics as a Service just isn't right) heavy customization capability is not the pain point, the easy consumption of a BKM is.
(P.S. Typing this from the road in Beijing where we are testing these ideas....)