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I have worked in the field since 1982, so I have experienced “the need to work on other things for a while” to earn a living. My prediction is that we are goin

I have worked in the field since 1982, so I have experienced “the need to work on other things for a while” to earn a living. My prediction is that we are going to see a small revolution in cost reduction: hardware for deep learning will get cheaper; great educational materials like fast.ai and Andrew Ng’s lessons will increase the hiring pool of people who know enough to be useful; the large AI companies will continue to share technology and trained models to help their hiring funnel and general PR; programmer less modeling will really start to be a real thing.

sgt101 7y ago
Alot of the cost in AI projects now are in training or education, but instead in problem solving and plumbing. AI/ML free projects using things like Kafka and Flink are not cheap. Coding up a CNN or MLP is not a big deal, but it never really was - it was work to build a c back propagation implementation but if I did it in 1995 then anyone could. The question and real differentiator is in answering three problems : - what's the problem? - how can we get the data to the system? - how do we frame the data and output in terms of (any) AI technology? All of these steps are closely coupled and require expertise. On the programmer less modelling; I still have not seen a tool that is better than code for expressing a model precisely and testably, and my experience is that until we have some running code we don't really know that we understand the system.