Creating machine learning models from structured intelligence databases

A system for creating an artificial intelligence machine learning model, comprising:

• a memory medium comprising instructions;
• a bus coupled to the memory medium;
• and
• a processor coupled to the bus that when executing the instructions causes the system to:
• select a set of unstructured documents stored in an intelligence database;
• retrieve attributes associated with a set of entities in the set of unstructured documents from structured data within the intelligence database;
• perform a natural language scan of the unstructured documents to identify relationships between the entities;
• annotate the unstructured documents with the attributes and the relationships;
• and
• form the machine learning model based on the annotated documents.

A computer program product for creating an artificial intelligence machine learning model, the computer program product comprising a computer readable storage media, and program instructions stored on the computer readable storage media, that cause at least one computer device to:

• select a set of unstructured documents stored in an intelligence database;
• retrieve attributes associated with a set of entities in the set of unstructured documents from structured data within the intelligence database;
• perform a natural language scan of the unstructured documents to identify relationships between the entities;
• annotate the unstructured documents with the attributes and the relationships;
• and
• form the machine learning model based on the annotated documents.