The researchers will leverage a first-of-its-kind learning and predictive analytics tool called the IBM Traffic Prediction Tool (TPT), developed by IBM Research, which continuously analyzes congestion data, commuter locations and expected travel start times throughout a metropolitan region that can affect commuters on highways, rail-lines and urban roads.
In the unstructured data world, especially text, the big trend is predictive coding or predictive analytics that identify high-risk communications, flag them for followup and use machine learning to train a data set.