Enterprise AI stalls because data remains a mess
Source: SiliconANGLE
Companies have spent tens of billions on GPUs and cloud infrastructure only to discover that 80-90% of enterprise data is unusable by current AI systems — unstructured, scattered across legacy systems, unlabeled, and often undocumented. The bottleneck is no longer compute or models. It is data engineering: the unglamorous work of rebuilding how companies organize and govern information at scale. This explains why AI pilots rarely graduate to production.