Organizations face challenges leveraging unstructured data for AI due to siloed architectures, poor data trust, and governance gaps. Although AI adoption is rising, with many firms exploring generative AI, most still rely heavily on structured data. Key obstacles include integrating diverse data, scaling pipelines, and managing fragmented platforms. TDWI recommends unified platforms that simplify ingestion, governance, and analytics while reducing data friction and latency. Using a single environment with built-in security, parallel processing, and support for LLMs can accelerate insights from documents, images, and text while empowering developers and business users.

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