Everyone is hyper-focused on the next big Claude, Gemini, or GPT update, and the promise of “Agentic AI” fully automating our workflows. But out in the actual B2B enterprise world, here is the harsh reality: You cannot build a reliable AI agent on top of a fragmented, undocumented database. Companies want magical GenAI solutions that solve all their growth and operational problems, but they don’t want to spend the time to clean up their SQL tables or fix their data pipelines in Python first. If your underlying data structure is garbage, your massive AI initiative is just going to confidently summarize that garbage. The real heroes of the AI revolution aren’t just the prompt engineers; they’re the data analysts doing the unglamorous work of making corporate data actually readable by these models. submitted by /u/netcommah
Originally posted by u/netcommah on r/ArtificialInteligence