Despite significant investments, AI systems are delivering minimal impact for 70% of companies, according to a recent MIT study. The GenAI Divide highlights that only 10% of integrated AI pilots actually deliver significant value. The core issue often lies in how these systems are designed, with consumer chat applications rewarding plausible-sounding answers, leading to hallucinations or fabricated information. The problem often boils down to incomplete data, as corporate databases typically capture only 20% of business-critical information in structured formats. This unstructured data often holds the most decision-critical intelligence, yet most AI systems never see it, leading to confident but disastrously wrong predictions.

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