We have few customers in production. One is about smart purchase invoice automation and - IMO - the real world data set is not that different from those StatLog / UCI / Kaggle datasets.
Of course our customer datasets tend to be on the easier side of the ML application field, but like you mentioned: the easy / fast or the low / mid-value ML applications are the place, where Aito / predictive database strengths play out and where they can carve out space.
I can see this carving out a space for low value tasks.