Loved the recent video on preparing company data for AI success. It really highlighted how crucial clean data and robust workflows are. But honestly, for many organizations, getting that data AI-ready feels like climbing Mount Everest without a map.

What do you all think is the single biggest challenge companies face when trying to get their data up to snuff for AI? Is it legacy systems, data silos, lack of skilled personnel, or something else entirely? Anyone else noticed specific pain points that the video didn't quite cover, especially when dealing with integrating multiple platforms like SAP and AWS? Let's discuss!