Roughly 80% of enterprise data sits in unstructured files, and for five decades that content was something to protect rather than read. AI changed the economics of reading it. The harder question sits underneath. Out of a billion files, which handful does one person actually need?

In Part 1 of a three-part conversation for CDO Magazine, Data X-Ray Founder and CEO Kyle DuPont speaks with CDO Magazine Editorial Board Member Maribeth Achterberg about why the real unlock for unstructured data is metadata rather than cleanup.

DuPont traces the problem to the arrival of free text entry in the 1970s. That shift turned corporate storage into a black hole nobody could usefully analyze. Data X-Ray is eight years old and predates the AI wave. In those earlier years, unstructured data work across the field meant guarding files.

Newer techniques changed that, and what follows is a first principles view of who needs unstructured data and why.

• Nobody requests data intelligence: Compliance officers and bid teams ask for the metadata needed to finish one specific task.
• Exposure over cleanup: Value comes from locating and organizing the right files rather than scrubbing the repository, whether the trigger is a subject access request or a proposal deadline.
• A foundation with modules on top: Data X-Ray is built as a metadata layer that carries separate workflow modules and stays open to customer-built ones.
• Relevance for agents: One defense contractor feeds identified files into an intelligence mesh so agents can surface what matters for bid proposals.

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