Most enterprise AI projects do not fail because the model is bad. They fail because the data feeding it is a mess: broken pipelines, mismatched systems, and context locked in one engineer’s head.
Source: [TNW](https://thenextweb.com/news/upriver-14m-seed-ai-data-engineering)