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 F

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.