This infographic explains why unstructured enterprise files rarely reach AI pipelines and how Rubrik Annapurna changes that process. Although 90% of enterprise data consists of unstructured files, less than 1% reaches AI because traditional workflows first copy massive datasets into lakehouses, duplicating storage, increasing network costs, and delaying projects. Annapurna instead scans and catalogs files in place across NAS, S3, and Blob storage, capturing hashes, permissions, and metadata without moving the source data. When an AI pipeline requests information, only the matching subset is staged. Source permissions travel with the files, costs scale with actual consumption, and a hashed lineage trail shows exactly which data trained a model. The result is faster AI readiness without anot

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