
In a world where artificial intelligence drives billion-dollar decisions, what happens when the data fueling these systems is a chaotic mess? Picture a multinational corporation betting on AI to predict market trends, only to find its models spitting out conflicting results because the underlying data lacks a common language. This scenario, far from hypothetical, underscores a critical challenge in 2025:










