
A Stanford Digital Economy Lab study of 51 successful AI deployments found 77% of practitioners identified change management, data quality and process redesign as the hardest challenges. For 42% of implementations, the foundation model was fully interchangeable. 61% of successful deployments included at least one prior failure where AI was treated as a technology project.
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