AIForbes Innovationabout 2 hours ago
AI Models Need Real-World Context
1 min read
A 3,000-person fitness conference in Boston drove an 11.4% hotel demand uplift, while a 30,000-person baseball game nearby caused only 1.3%. PredictHQ CEO Campbell Brown argues enterprise AI models lack external context like events and weather, causing predictable volatility to be missed. The context gap leads to inaccurate forecasting and scaled bad decisions.
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