Glossary term
Unstructured Data
Information that doesn't follow a predefined format, like text documents, emails, and images.
Last reviewed by the OdysseyGPT team
What it is
Information that doesn't follow a predefined format, like text documents, emails, and images. In OdysseyGPT, Unstructured Data matters because it turns raw documents into cited outputs you can review. You don't get a black-box answer.
Key Takeaways
- Information that doesn't follow a predefined format, like text documents, emails, and images.
- Unstructured Data is most useful when accuracy must be verified against source documents.
- OdysseyGPT uses unstructured data inside controlled document workflows, not just open-ended prompts.
Why it matters
Unstructured data is information that doesn't fit into traditional row-and-column databases. This includes documents, emails, images, audio, and video. An estimated 80% of enterprise data is unstructured. Unlike structured data (databases) or semi-structured data (XML, JSON), unstructured data requires AI to extract meaning and convert it into usable formats. Document AI is specifically designed to handle unstructured documents.
How OdysseyGPT uses it
Unstructured documents are OdysseyGPT's specialty. We transform unstructured contracts, policies, reports, and correspondence into structured, searchable, and analyzable content. Our AI understands what a document means, so it does not need rigid templates. That lets it process the varied, messy documents that companies actually have.
Evaluation questions
What is Unstructured Data?
Unstructured data is information that doesn't fit into traditional row-and-column databases. This includes documents, emails, images, audio, and video. An estimated 80% of enterprise data is unstructured. Unlike structured data (databases) or semi-structured data (XML, JSON), unstructured data requires AI to extract meaning and convert it into usable formats. Document AI is specifically designed to handle unstructured documents.
Why does Unstructured Data matter in enterprise document workflows?
Unstructured Data matters because high-stakes teams need to find the right text, defend their answers and review the same way across large document sets.
How does OdysseyGPT use Unstructured Data?
Unstructured documents are OdysseyGPT's specialty. We transform unstructured contracts, policies, reports, and correspondence into structured, searchable, and analyzable content. Our AI understands what a document means, so it does not need rigid templates. That lets it process the varied, messy documents that companies actually have.
Frequently asked questions
Why is unstructured data hard to process?
Without predefined structure, systems must understand content meaning to extract useful information. Traditional software expects fixed formats; AI is required for variable, natural language content.
Can unstructured data become structured?
Yes, that's the goal of document AI. We extract structured data from unstructured documents, making it usable in databases, analytics, and automated workflows.