Abstract: An application instance that includes one or more machine learning models receives, from a subscriber computing system, a document comprising unstructured data. Based on the unstructured data, the application instance generates an optimized model input that includes a plurality of parsed document sections. For each parsed document section, the application instance generates an output set by performing, by a machine learning model, at least one key information extraction operation. The machine learning model transmits the output in structured form to a target application operated or hosted at least in part by a subscriber entity associated with the subscriber computing system.
Abstract: A settlement evaluation tool includes a settlement evaluation module having a statistical model, and an inquiry portal module. The inquiry portal module is configured to perform operations that include electronically receiving data related to an insurance liability dispute between a first insurance carrier and a second insurance carrier, and transferring the data to the settlement evaluation module. The settlement evaluation module is configured to perform operations that include applying the statistical model to the data to obtain an outcome probability associated with a strategy for resolving the dispute, and outputting the outcome probability.
Type:
Application
Filed:
December 5, 2013
Publication date:
June 5, 2014
Applicant:
ExlService Holdings, Inc.
Inventors:
Adolfo E. Canovi, Lauren K. Bush, Donald R. Pierce, Jr., Zachary Russell Hodges, Michael Joseph Paolino, Jr., R. Bradley Burdick