Hartford Fire Insurance Compnay

Shane Eric Barnes

Peter T Bothwell

Lucas Raymond Roberts

James A Madison

Kelly J McLaughlin

Ludwig Steven Wasik

Davis Preston Robinson

Peter M Hill

Doug A Summerson

Tyler L Kapushinski

Joseph Peter Schmit

Huimin Xiong

Mohan Subramaniam

According to some embodiments, an automated scoring analysis computer may access information in a historical data store, including sets of attribute values and prior results for a plurality of prior associations, to create a scoring model. An indication of a selected potential association from a potential association data store may be received, including a set of attribute values. The scoring analysis computer may then calculate a risk score for the selected potential association based on the scoring model. A front-end application computer server may automatically select a workflow path from a plurality of potential workflow paths.

Processing system to generate risk scores for electronic records

According to some embodiments, an analytics computing environment data store may contain a set of electronic data records, each electronic data record being associated with a predictive analytic algorithm and including an algorithm identifier and a set of algorithm characteristic values. An analytics environment computer may receive an adjustment from a user associated with an enterprise, the adjustment changing at least one of the set of algorithm characteristic values for a predictive analytic algorithm. Deployment of the predictive analytic algorithm may then be initiated in an enterprise operations workflow and at least one result may be generated. The deployed predictive analytic algorithm may then monitor the result and generate an alert signal when the result exceeds a boundary condition.

System to facilitate predictive analytic algorithm deployment in an enterprise

Mediums, apparatus, computer program code, and means may be provided to evaluate relative risks based at least in part on source inputs received via a distributed communication network by an automated back-end application computer server. According to some embodiments, the server may access a data store containing electronic files associated with a set of entities to retrieve, for each of a plurality of the entities in the set of entities, electronic files associated with that entity. The server may also retrieve structured data elements, unstructured data elements, and external, third-party data elements for that entity. The server may then execute an automated risk model to assign a risk score to that entity based on the electronic files, the structured data elements, the unstructured data elements, and the external, third-party data elements for that entity and transmit indications of the risk scores for the plurality of entities.

Proving ground assisted automated model

Systems and methods are disclosed herein for processing data in connection with insurance information submissions. The system may be configured to receive entity data relating to an entity for which insurance coverage is sought, and query an interface of a third-party platform based on the entity data. The system may then be configured to receive third-party platform interface data from the third-party platform, analyze the data to determine a web site address for a web page on the third-party platform relating to the entity, and retrieve third-party platform web site data from the web page on the third-party platform indicative of content related to the entity. The system may be configured to pre-fill insurance forms relating to the entity based on the third-party platform data.

Computerized system and method for data field pre-filling and pre-filling prevention

Processing system for data elements received via source inputs

Computerized system and method for pre-filling of insurance data using third party sources

Systems and methods are disclosed herein for determining an insurance evaluation based on an industrial classification. The system may be configured to receive search data relating to the entity seeking insurance coverage and query an interface of a third-party platform based on the search data. The system may then be configured to receive third-party platform interface data from the third-party platform, analyze the data to determine a web site address for a web page on the third-party platform relating to the entity, and retrieve third-party platform web site data from the web page on the third-party platform indicative of content related to the entity. The system may then output, based on the third-party platform interface data and web site data, first data indicative of at least one industrial classification associated with the entity.

System and method for determination of insurance classification and underwriting determination for entities

Growing community of inventors

Avon, CT, United States of America

Shane Eric Barnes