Many AI programs stall not because the models are weak, but because leaders do not inspect the quality, ownership, freshness, and governance of the data underneath them.
As enterprises rush into generative AI, the harder problem is becoming visible: AI performance depends less on tool choice than on whether the organization can govern, clean, and reuse its own data with discipline.