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The article discusses the challenges hindering the realization of significant gains from AI despite massive investments in the technology. Issues such as AI's struggle with simple math, messy and inconsistent data in big firms, and siloed human expertise are identified as key obstacles.
AI's limitations in basic arithmetic pose a significant hurdle for its widespread adoption in business decision-making processes. The data quality issues in large organizations further impede the successful application of AI, highlighting the importance of clean and consistent data for AI effectiveness. Additionally, the siloed nature of expertise within firms creates barriers to leveraging AI solutions for operational problems.
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