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The rise of artificial intelligence agents promises to revolutionize enterprise operations by automating complex workflows and delivering unprecedented business insights.However, a critical bottleneck threatens this transformation:according to Gartner research, approximately 40% of AI prototypes fail to reach production, with data availability and quality cited as the primary barriers to adoption.The challenge lies not in the sophistication of AI models themselves, but in preparing the vast repositories of enterprise data—roughly 80% to 90%[1] of which exists as unstructured documents, multimedia files, and

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