Abstract: An approach for creating an artificial intelligence machine learning model is provided. In an embodiment, a set of unstructured documents stored in an intelligence database is selected. Attributes associated with entities contained in the selected unstructured documents are retrieved from structured data that is also stored within the intelligence database. In addition, a natural language scan of the unstructured documents is performed to identify relationships between the entities. These relationships and the attributes are used to annotate the originally selected documents. Then the machine learning model is automatically created based on the annotated documents. This machine learning model can be used to train an AI to perform a specific set of problem solving tasks.