Assurant, Inc.

Gary Mcwilliams

Manuel Becerra

David Glenn Mcmillan

Edward Gorman

Provided are systems and methods for programmatically weighting disparate inputs to optimize a predictive model. The predictive model may generate component weighted values associated with each disparate input to facilitate programmatic combination of the disparate inputs, and an aggregated weighted value may be generated from the combined component weighted values. Aggregated weighted values may be generated for a plurality of input sets, each of which may be programmatically scored relative to the remaining input sets. In some embodiments, the predictive model and an associated engine may be packaged for instantiation and execution on a local terminal.

Growing community of inventors

Wayne, PA, United States of America

Gary Mcwilliams