[DylanBohlender]

In my opinion, a lot of these problems are organizational in nature as the tech industry wrestles with how to integrate data science into product development.

Too often there are siloed "data science teams" who do the best they can to field asks from tons of different business areas. Within those teams there are handoffs to labeling teams run offshore in MTurk style, handoffs to data engineers to build ETL to feed the modeling efforts, and then when models are finally trained there's a handoff to machine learning engineers to implement them!

Clearly data scientists need to be better integrated into product development flows, and not treated like a strange specialized black box.