Tackling the dirty P word in AI and Machine Learning - Part 2 (productionization, operationalization and beyond)

In part 1 of this article, we observed that due to a lack of a standard definition and adoption of AI productionization, there is disillusionment amongst businesses on achieving true impact of AI and Machine Learning. This not only can hold the field back from achieving its true potential, it risks marring the reputation of emerging technologies in the eye of executives, potential beneficiaries and the general public. So what are some potential issues and resolutions to tackle productionization? Tl/dr is towards the bottom if you want to skip there. It may disappoint tech enthusiasts but imho, very little depends on tooling itself.