The Foundation for AI: Why Data, People, and Goals are more important than Choosing a Strategy
The introduction of AI is not about choosing software, but about pain and wasted money. Everyone says "build or buy," but this is the last step, not the first. This article examines what underlies failed projects: massive amounts of data, weak architecture, vague goals, and a shortage of personnel. This is not a theory, but a practical checklist of readiness for real AI transformation.