Test af de rigtige ting: Glem ikke kvalitative argumenter i kvantitative sammenligninger
Et menneskeligt trang til enkelhed forhindrer detailhandels optimering af kunstig intelligens og maskinlæring på tværs af udbud og efterspørgsel. Detailhandlere overser kvalitativ kontekst til fordel for kvantitativ komfort.
All too often, when identifying a suitable and leading AI vendor, the temptation is to test providers by comparing them quantitively, based on data that can be presented by all — even the weakest — models. There is a thought that if they can all assess it, then it must be the most rounded picture.
However, these in-house data scientists are forgetting about the additional quantitative output that can only be calculated by a more advanced model — not by all. This qualitative nuance and argument is therefore lost as vital context to face value data is overlooked and the retailer misses out on a more advanced innovation to guide them forward.
