Abstract: The method includes: receiving a communication that relates to a request for a price quote for at least one equity derivative product; extracting from the communication, attributes of the requested price quote for the at least one equity derivative product; generating based on the extracted attributes, a template request that has a predetermined format for each of the at least one equity derivative product; displaying, via a graphical user interface (GUI), each template request for review by a user, wherein the GUI includes an input mechanism for at least one of accepting and modifying each template request; transmitting each reviewed template request to a pricing system; receiving, from the pricing system, a quote for each of the at least one equity derivative product; and displaying, by the GUI, the price quote.

Abstract: An embodiment of the present invention is directed to an intelligent customer service and query management and routing system. The innovative system comprises a communications server that receives a query from a client; a predictive analytics engine that applies predictive analytics to the query including parsing keywords and phrases; classifying the keywords and phrases; and applying a tag to the query; a management platform dashboard that provides an interface to a customer service representative to provide feedback to the predictive analytics engine and further applies automatic routing and categorization into a plurality of communication inboxes; and a periodic model build processing component that builds, monitors, optimizes and deploys one or more predictive models executed by the predictive analytics engine.

Abstract: An embodiment of the present invention is directed to an intelligent customer service and query management and routing system. The innovative system comprises a communications server that receives a query from a client; a predictive analytics engine that applies predictive analytics to the query including parsing keywords and phrases; classifying the keywords and phrases; and applying a tag to the query; a management platform dashboard that provides an interface to a customer service representative to provide feedback to the predictive analytics engine and further applies automatic routing and categorization into a plurality of communication inboxes; and a periodic model build processing component that builds, monitors, optimizes and deploys one or more predictive models executed by the predictive analytics engine.

Abstract: A process for preparing a fluorinated poly(arylene ether) comprising the repeating unit: wherein n provides a molecular weight up to about 30,000 to 100,000, X represents one of following groups: none, ketone, sulfone, sulfide, ether, hexafluoroisopropylidene, ??-perfluoroalkylene, oxadiazole, and Y is 4,4?-(hexafluoroisopropylidene)-diphenyl, 4,4?-isopropylidene diphenyl, 3,3?-isopropylidene diphenyl, phenyl, or chlorinated phenol which process comprises reacting a bis(pentafluorophenyl) compound and a bisphenol or hydroquinone in the presence of a dehydrating agent and a polar aprotic solvent is disclosed. Polymers resulting from the process show good promise as new passive optic polymer waveguide materials.