“The CAP (Causal Analysis and Prediction) system enhances AI-powered problem-solving by enabling tasks such as model definition, discovery of latent factors, noise reduction, prediction, and the identification of latent causal relationships.

As an example, let’s look at its use in the medical domain, where it assists physicians in tackling intricate medical issues through both Model Completion (MC) and the functionalities offered by CAP.”