Unstructured data is information that does not follow a predefined schema or table format, which makes it difficult to organize, query, or govern using traditional database tools. It exists in many forms, including documents such as contracts and manuals, emails and chat messages, and rich media like images and videos. This content is often spread across file systems, cloud drives, and collaboration platforms, usually without consistent tagging or governance.

Why it matters:
Unstructured data holds most of an organization’s meaningful context and institutional knowledge, which makes it essential for AI systems that rely on language, reasoning, and interpretation. As LLM driven applications become standard, unstructured content shifts from a loosely managed resource to a critical input for accurate, secure, and scalable AI.