Unstructured data is information that does not follow a fixed format — emails, chat logs, PDFs, images, audio files, contracts, and documents. It is where most enterprise knowledge actually lives.
Making unstructured data usable at scale requires AI to extract meaning, structure, and intent from content that was not designed to be machine-readable. The ability to process unstructured data is one of the primary reasons AI creates value in enterprise settings — because that is where the information is, and historically it has been accessible only to humans who read it one document at a time.
