It’s a scenario I see all too often: as a CIO, you greenlight an ambitious artificial intelligence pilot. The model performs brilliantly in the test environment and optimism is high. But when it’s time for a full-scale deployment, the project hits a wall. The production data isn’t nearly as clean as the training data…
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