This could not be more true in healthcare. Predictive modeling can improve patient outcomes and reduce costs such as the following:

• Clinical applications when early detection can impact patient outcomes or which patient is going to be become septic

• Predicting which claim is going to be denied (for providers)

• Predicting at risk claims (for payers)

Every step tracked and auditable.

Our technology is not-out of-control wizardry. It methodically tracks all of the steps it used to make decisions and is auditable. When there is not enough data to make a prediction, our software knows not to “pull the trigger.”

Using our knowledge graph, algorithms, and our inference engine, our technology can use both unstructured and structured data to make predictive modeling a reality.