S&P Global surveyed 1,006 enterprises. MIT NANDA reviewed 300 AI deployments. RAND analysed 65 data scientists. They all found the same thing — and most people are reading the data too charitably.
This post is part of Aevon's thought leadership series on production AI — content written with real data from named primary sources, specific mechanisms, and the uncomfortable truths about enterprise AI that traditional consulting firms won't say out loud.
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