There is no such thing as "Unstructured Data"
Unstructured data isn't actually unstructured

There is no such thing as "Unstructured Data"


Unstructured data isn't actually unstructured—it’s just that most technology today isn’t equipped to recognize its inherent structure. There is no "Unstructured Data"—there is only "Heterogeneously Structured Data".

This is precisely why 3DI is ahead of the curve. The so-called "unstructured data stack" is just a repackaging of what 3DI has already operationalized: identifying, classifying, attributing, and validating data in a structured way, making it actionable without requiring brute-force AI models that introduce inefficiencies and hallucinations.


A few key takeaways:

  1. Only half of an organization’s unstructured data is analyzed → This is a symptom of poor classification. Organizations fail to extract meaning from their data because they don’t understand its structure. 3DI solves this from the ground up.
  2. Using LLMs to structure unstructured data → This is an inefficient approach. Why train another model to classify and structure data when 3DI can do this deterministically through RCAV attribution? AI should be used to enhance human decision-making, not to guess at fundamental document structure.
  3. Greenfield opportunity” for data leaders → The real opportunity is in getting ahead of the AI hallucination problem by ensuring data is properly classified before it even reaches an AI model. This is what 3DI leave-behind LLMs excel at—working directly within a structured data model without reliance on an external AI stack.
  4. Process, value, and scalability will be priorities in 2025 → 3DI already delivers all three. The difference between 3DI and traditional AI-based approaches is that 3DI builds from first principles, rather than throwing more AI at a data swamp and hoping for the best.

By 2026, the industry will be forced to discuss technologies that actually deliver. 3DI is already there.


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