[tgflynn]

There's definitely a need for people to continue working on developing new models and ideas. I think that's where academic research fits. That said the academic world could do a much better job of effectively evaluating and comparing models so that practitioners have a clearer view of what works where. There also seem to be a lot of biases that get perpetuated in the academic world, like the bias against neural networks.

However I think what's really needed for this technology to develop to its true potential is figuring out how to apply it to real problems and I think that's more a role for industry practitioners than academics. The problem is that for people to make a living at this there needs to be a market. I think what we are seeing in this area is a shortage of both supply and demand with the supply side hindering the demand side and vice versa.