In the Big Data era, model representations created from present analyses are narrow in scope, covering only a small subset of the data with limited understanding.  It requires human intelligence to construct representative models that can properly search through and find meaningful patterns in a large amount of data.

PNN uses artificial human intelligence to helps scientists and business leaders make sense of the volumes of data that are pouring into their organizations. PNN is a multipurpose data machine learning tool, a single architecture handles all kinds of problems in data analysis; such as multi-resolution clustering, classification/prediction, pattern recognition, user recommendation, risk analysis and decision support. PNN multi-resolution clustering is a state-of-the-art analytics feature, coarse and detailed pattern profiles are embedded within different levels of  network. A trained PNN network can be considered as an expert system that can communicate with humans through queries where knowledge and inference rules are extracted from input-output relationships.