[joshuaeckroth]

Their lesson, "Build Breadth-first (Data/Pipeline/Model) instead of Depth-first (AI model)" is insightful. Once the pipeline/etc. are built perhaps the AI part is not even needed any more. Finding this out early can save you a lot of trouble.

Another perspective, in which we talk about on integrating AI into existing workflows, among other lessons:

Smith, Reid G., and Joshua Eckroth. "Building AI Applications: Yesterday, Today, and Tomorrow." AI Magazine 38.1 (2017): 6-22.

https://www2.stetson.edu/~jeckroth/downloads/smith-eckroth-2...

[gfdr]

Not only that, but breadth-first makes it easy to: a) Iterate much faster on models; b) Keep better track of results and code and models, which is already quite difficult in ML; c) Enable other teams to work on other parts of the pipeline, in parallel.