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.
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.