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Data Silos Are One of the Biggest Barriers to Enterprise AI.

How can a namespace help teams simplify access to data across storage systems, cloud environments, and global data centers?

Instead of copying files, remapping paths, or forcing every team to work around fragmented infrastructure, a single namespace can separate where data lives from how people access it. That means teams can work from a consistent directory structure while storage admins manage movement, tiering, and performance in the background.

For enterprise AI, that matters because siloed architectures slow down access, create complexity, and make it harder to turn distributed data into actionable data.