Problem:
Enterprise catalogs in Oracle AI DataPlatform mainly focus on structured data such as databases, tables, and columns. However, a large amount of valuable and sensitive business data exists as unstructured content across many sources, including emails, PDFs, documents, images, call transcripts, application attachments, shared drives, APIs, case-management platforms, and cloud storage.
Today, organizations often do not have one consistent way to discover this content, understand what it contains, identify PHI or sensitive data, assign ownership, track lineage, or control how it can be used by analytics and AI.
Why this is needed:
As organizations expand AI and agent use cases, unstructured data will become increasingly important. Before an AI model or agent can safely use a document, email, or attachment, the organization needs to know:
Where the content came from
What type of content it is
Whether it contains PHI or other sensitive information
Who owns it and who is allowed to access it
How it was processed, transformed, or used downstream
Which model, agent, or business workflow consumed it
A unified unstructured-data catalog would help organizations discover and govern content wherever it resides, without requiring it to first be moved into one platform. This would provide a stronger foundation for secure AI, agentic AI, compliance, auditability, and enterprise-wide data governance.
