Paradoxically, data is the most under-valued and de-glamorised aspect of AI.

Lack of focus on the data plumbing spells the doom of most supply chain initiatives. While this article wasn't written with supply chain use-cases in mind, it's clearly relevant to the supply chain field. Data plumbing being "glamorous" means that it's difficult to gather resources for stuff that don't really have any kind of visible payback. Yet, data engineering is a highly capitalistic undertaking.