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37results about How to "Allows effectiveness" patented technology

Automated service management system with rule-based, cascading action requests

A system may generate action requests for a service management system. A user preference data store may contain electronic records for a set of users, including, for example, at least one user preference value. A back-end application computer server may receive, from a remote user mobile device, an indication associated with an event. The server may then determine at least one location coordinate associated with the event and select a sub-set of service providers from a service provider data store based on the location and at least one user preference value. The server may generate an action request for a designated one of the sub-set of service providers in accordance with logic based rules and transmit information about the action request to the designated service provider and the remote user mobile device. The server may receive an action request update and transmit a modified action request to another service provider.
Owner:HORN GREGORY WILLIAM +1

Output adjustment and monitoring in accordance with resource unit performance

InactiveUS20170154374A1Faster and accurate resultAllows flexibility and effectivenessFinanceBuying/selling/leasing transactionsApplication softwareOperating system
Detailed resource information, including a resource preference indication, may be stored for a set of potentially available resource units. The system may store, for each resource unit, at least one performance metric score value. For each resource unit, a back-end application computer server may automatically access the performance metric score value in a resource performance metric computer store. Based on the at least one performance metric score value, the back-end application computer server may automatically update a state of the resource preference indication in an available resource computer store and automatically arrange to adjust at least one output parameter in accordance with the updated state of the resource preference indication. According to some embodiments, a diagnosis grouping platform groups similar claims handled by the panel of medical service providers, and a rating platform reviews performance of each medical service provider in the panel based on groups of similar claims.
Owner:HARTFORD FIRE INSURANCE

Processing system for data elements received via source inputs

ActiveUS20170154382A1Faster and accurate resultFast and accurate resultFinanceThird partyApplication computers
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.
Owner:HARTFORD FIRE INSURANCE

Performance estimation system utilizing a data analytics predictive model

ActiveUS20170300824A1Faster and accurate future performance estimation valueEffectivenessVisual data miningStructured data browsingMixed effectsData store
According to some embodiments, a server may access a data store containing electronic records, each electronic record representing a risk association for an entity in connection with a plurality of relationships, and each electronic record may contain a set of record characteristic values. The server may automatically designate a first sub-set of the set of record characteristic values as fixed effect variables and a second sub-set as random effect variables. A data analytics mixed effect predictive model may then generate, based on the fixed and random effect variables, a future performance estimation value for the risk association of each entity in connection with its plurality of relationships. An indication associated with the future performance estimation value for the risk association of at least one entity in connection with its plurality of relationships may then be transmitted to generate an interactive user interface display.
Owner:HARTFORD FIRE INSURANCE

System to coordinate source code module changes

A source code repository data store may contain source code module components, and a communication interface may support user displays at remote developer devices. A module coordination system computer server may access an electronic work request record, associated with a work request identifier, a release date, and at least a first source code module component in the source code repository data store. A first remote developer device may establish a first user display including individual lines of code (where each line that has been changed since a previous release of the first source code module component is tagged with an associated work request identifier and is shown in association with a developer identifier). According to some embodiments, a first user display reflects all changes dynamically that have been made since the previous release of the first source code module component, including those with other developer identifiers and multiple release dates.
Owner:HARTFORD FIRE INSURANCE

Processing system to generate attribute analysis scores for electronic records

InactiveUS20170301028A1Faster and accurate resultEffectivenessFinanceRelational databasesData packThird party
A data store may contain electronic records representing a plurality of potential associations and, for each potential association, an electronic record identifier and a set of attribute values. An automated electronic record classification computer may classify electronic records from the data store into sub-sets of related records. An automated scoring analysis computer may retrieve, for each electronic record in a classified sub-set, the set of attribute values and calculate at least one attribute analysis score (based on attribute values of other electronic records in the same sub-set). A back-end application computer server may retrieve attribute values along with an attribute analysis score associated with an electronic record of interest and automatically retrieve third-party data. Data associated with an interactive user interface display, including the at least one attribute analysis score and the third-party data, may then be via a distributed communication network.
Owner:HARTFORD FIRE INSURANCE

Secure configuration management system

According to some embodiments, a configuration benchmark data store may include a plurality of secure configuration benchmarks. A back-end configuration management computer server may retrieve one of the secure configuration benchmarks and provision, by an orchestration engine, an initial operating system build in accordance with the retrieved secure configuration benchmark and an automation template. The back-end configuration management computer server may then apply, by a provisioning tool, enterprise-specific modifications to the initial operating system build to create an environment compliant with an enterprise standard benchmark. The back-end configuration management computer server may validate the enterprise standard benchmark via secure configuration and vulnerability checks, apply at least one configuration update to the enterprise standard benchmark to create a service instance, and then apply application code to the service instance.
Owner:HARTFORD FIRE INSURANCE

Risk relationship resource allocation servicing system and method

ActiveUS20200234376A1Faster and efficient resultAllows effectivenessFinanceResourcesGraphicsCommunications system
A system may receive a first resource allocation request (associated with a first company) from a first entity. The system may determine that the first request is not associated with a risk relationship and arrange for it to be processed via a claim servicing entity. Information about the first request may then be routed to a request handler device for processing and a communication with a first graphical indication may be generated. The system may also receive a second resource allocation request (associated with the first company) from a second entity and determine that it is to be processed via a risk. The system may then route information about the second request to a request handler device for processing and generate a communication with a second graphical indication. Note that the request handler device may be the same device that received the information about the first request.
Owner:HARTFORD FIRE INSURANCE

Existing association review process determination utilizing analytics decision model

A system may automatically identify electronic records to be routed to an existing association review process via an automated back-end application computer server. The system may include a data store containing a set of electronic records, each record representing an existing risk association with an entity, and each record may contain a record identifier and a set of record characteristic values, including at least one record characteristic value collected during the existing risk association. The computer server may then access the electronic records and automatically create, by an analytics decision model based on the record characteristic values, a subset of the records for the review process. An indication of the existing association review process subset may then be transmitted in connection with an interactive user interface display and records in the subset may be automatically routed for the existing association review process.
Owner:HARTFORD FIRE INSURANCE

System and method providing risk relationship resource allocation tool

A system to provide an automated risk relationship resource allocation tool via back-end application computer server of an enterprise. A resource allocation data store may contain electronic records representing requested resource allocations between the enterprise and a plurality of entities. The server may receive an indication of a selected requested resource allocation and retrieve, from the resource allocation data store, the electronic record associated with the selected requested resource allocation. The server may execute a machine learning algorithm to generate an overall score for the selected requested resource allocation and generate a request health index via an analytic model for the entity associated with the selected requested resource allocation. The system may then support a graphical interactive user interface display via a distributed communication network, the interactive user interface display providing resource allocation data including the overall score and the request health index.
Owner:HARTFORD FIRE INSURANCE

System and method to automate transaction-based risk assignment

Some embodiments are directed to an automated transaction-based risk assignment. A risk relationship data store may contain electronic records that represent a plurality of risk relationships between an enterprise and a plurality of entities, and each record may include a relationship identifier and attribute resource values associated with risk attributes. A back-end application computer server may receive an indication of a transaction between a first and second entity and interact with the first entity to create a definition document for the transaction. The server may also receive from the first entity an indication that a transaction-based risk relationship should be created with the enterprise in connection with the transaction. Responsive to the received indication, the server may automatically establish attribute resource values associated with risk attributes based on data in the definition document and store the established attribute resource values associated with risk attributes in the risk relationship data store.
Owner:HARTFORD FIRE INSURANCE

Data analytics system to automatically recommend risk mitigation strategies for an enterprise

A data analytics system may include a first risk relationship data store containing electronic records that represent a plurality of risk relationships between the enterprise and a first risk relationship provider. Similarly, a second risk relationship data store containing electronic records that represent a plurality of risk relationships between the enterprise and a second risk relationship provider. A back-end application computer server may include a data mining engine that analyzes a set of electronic records in the first and second risk relationship data stores to identify flags corresponding to risk drivers. A predictive analytics engine may then calculate a risk score associated with the set of electronic records based on the associated entity attribute values and the identified flags corresponding to risk drivers. An insight platform may automatically generate a recommended action for the enterprise to lower the calculated risk score.
Owner:HARTFORD FIRE INSURANCE

System with capacity and resource allocation display to facilitate update of electronic record information

A planned resource allocation data store may contain electronic records representing a plurality of planned resource allocations for an enterprise. An actual resource allocation data store may contain electronic records representing a plurality of actual resource allocations. A back-end application computer server may receive, from a remote user device associated with a first user identifier, data about planned and actual resource allocations and update the data stores. The computer server may also receive an indication of a period of time to be analyzed and access information in the planned and actual resource allocation data stores associated with the first user identifier and the period of time. A total planned occupancy value and a total actual occupancy value may then be calculated and displayed via an interactive user interface based on the accessed information.
Owner:HARTFORD FIRE INSURANCE

Processing system for automated electronic record creation and transmission

Mediums, apparatus, computer program code, and means may be provided to customize electronic records associated with a distributed communication network via an automated back-end application computer server. According to some embodiments, a relational database management system database and a plurality of database tables linked to the relational database management system database may be accessed. The back-end application computer server may retrieve electronic record layout information and utilize pre-determined logic associated with the plurality of linked tables, including logic that matches multiple pointers within a single pair of linked tables, to automatically insert accessed data into a customized electronic record in accordance with the electronic record layout information. The customized electronic record may then be transmitted to be rendered via an interactive user interface display.
Owner:HARTFORD FIRE INSURANCE

Processing system for data elements received via source inputs

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.
Owner:HARTFORD FIRE INSURANCE

Roof risk data analytics system to accurately estimate roof risk information

According to some embodiments, a risk relationship data store may contain electronic records, each electronic record representing a risk relationship between an enterprise and a risk relationship provider (e.g., an insurer), and including, for each risk relationship, an electronic record identifier and a set of roof attribute values. A back-end application computer server may receive, from a third-party data source, roof information for a roof of a building associated with a risk relationship. The computer server may then correlate the received roof information with a particular electronic record in the risk relationship data store. A roof attribute value of the particular electronic record may be updated in accordance with the roof information received from the third-party data source, and a predictive analytics engine of the computer server may then calculate a roof risk score associated with the particular electronic record.
Owner:HARTFORD FIRE INSURANCE

Enterprise network status insight system and method

Embodiments may be associated with a network status insight system implemented via a back-end application computer server. A network provider data store may contain electronic records, each electronic record representing a network provider of an enterprise. An enterprise data store may contain electronic records, each electronic record representing a remote analysis entity of the enterprise (e.g., a remote employee or worker). The computer server may receive, from the enterprise data store, information about analysis entities of the enterprise and, from the network provider data store, information about networks used by the enterprise. The computer may also receive, from a third-party outage detector platform information about outages associated with the enterprise (e.g., network outages and / or power outages). A network status algorithm may then be applied to correlate the received information to generate enterprise network status results (e.g., for display on an insight dashboard and / or a risk assessment prediction for the enterprise).
Owner:HARTFORD FIRE INSURANCE

Data analytics system to automatically recommend risk mitigation strategies for an enterprise

A data analytics system may include a first risk relationship data store containing electronic records that represent a plurality of risk relationships between the enterprise and a first risk relationship provider. Similarly, a second risk relationship data store containing electronic records that represent a plurality of risk relationships between the enterprise and a second risk relationship provider. A back-end application computer server may include a data mining engine that analyzes a set of electronic records in the first and second risk relationship data stores to identify flags corresponding to risk drivers. A predictive analytics engine may then calculate a risk score associated with the set of electronic records based on the associated entity attribute values and the identified flags corresponding to risk drivers. An insight platform may automatically generate a recommended action for the enterprise to lower the calculated risk score.
Owner:HARTFORD FIRE INSURANCE

System and method using third-party data to provide risk relationship adjustment recommendation based on upcoming life event

ActiveUS20210192632A1Faster and accurate resultFast and accurate resultFinanceResourcesAnalytic modelEngineering
A system to provide a risk relationship life event analytical modeling platform via a back-end application computer server of an enterprise. The system may include a risk relationship data store that contains electronic records representing potential risk relationships between the enterprise and a plurality of entities. Each record may include an electronic record identifier, at least one third-party indication associated with an upcoming life event, and a communication address. The server may determine a selected potential risk relationship and retrieve, from the risk relationship data store, the electronic record associated with the selected potential risk relationship. An analytical model may be executed based on the upcoming life event to generate a risk relationship adjustment recommendation for the selected potential risk relationship. The server may then automatically transmit information about the risk relationship adjustment recommendation to the communication address.
Owner:HARTFORD FIRE INSURANCE

Proving ground assisted automated model

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.
Owner:HARTFORD FIRE INSURANCE

Usage estimation systems and methods for risk association adjustments

According to some embodiments, a risk relationship data store may contain electronic records, each electronic record representing a risk relationship between an enterprise and a risk relationship provider (e.g., an insurer), and including, for each risk relationship, an electronic record identifier and a set of estimated usage attribute values. A back-end application computer server may receive, from a current usage data source, current usage information for the enterprise (e.g., financial information, utility information, IoT information, etc.). Based on the current usage information, the computer server may infer a likely actual current usage for the enterprise. The computer server may then compare the likely actual current usage with the predicted usage attribute value to determine a risk difference result and adjust a risk relationship parameter based on the risk difference result.
Owner:HARTFORD FIRE INSURANCE

System and method to generate risk relationship package using a flexible structure framework

A risk relationship package data store may contain electronic records, each electronic record representing a risk relationship package between an enterprise and an entity, and including, for each package, an electronic record identifier and an overall attribute value. A computer server may transmit, to a remote device associated with the entity, a set of potential types of risk coverage based on information in an available type of risk coverage data store. The server may then receive an indication of a selected subset of the potential types of risk coverage and, based on the received indication and a pre-determined rule, generate a risk relationship package for the entity using a flexible structure framework. The server may calculate an overall attribute value for the package based on an attribute algorithm (such that at least one reduction to the overall attribute value is applied based on an amount associated with the selected subset).
Owner:HARTFORD FIRE INSURANCE

Secure configuration management system

According to some embodiments, a configuration benchmark data store may include a plurality of secure configuration benchmarks. A back-end configuration management computer server may retrieve one of the secure configuration benchmarks and provision, by an orchestration engine, an initial operating system build in accordance with the retrieved secure configuration benchmark and an automation template. The back-end configuration management computer server may then apply, by a provisioning tool, enterprise-specific modifications to the initial operating system build to create an environment compliant with an enterprise standard benchmark. The back-end configuration management computer server may validate the enterprise standard benchmark via secure configuration and vulnerability checks, apply at least one configuration update to the enterprise standard benchmark to create a service instance, and then apply application code to the service instance.
Owner:HARTFORD FIRE INSURANCE

Processing system for automated electronic record creation and transmission

Mediums, apparatus, computer program code, and means may be provided to customize electronic records associated with a distributed communication network via an automated back-end application computer server. According to some embodiments, a relational database management system database and a plurality of database tables linked to the relational database management system database may be accessed. The back-end application computer server may retrieve electronic record layout information and utilize pre-determined logic associated with the plurality of linked tables, including logic that matches multiple pointers within a single pair of linked tables, to automatically insert accessed data into a customized electronic record in accordance with the electronic record layout information. The customized electronic record may then be transmitted to be rendered via an interactive user interface display.
Owner:HARTFORD FIRE INSURANCE

System with task analysis framework display to facilitate update of electronic record information

A task analysis data store may contain electronic records representing task analysis items for an enterprise. A back-end application computer server may receive, from a remote user device, first step data about task objectives for task identifier and update the task analysis data store. The server may then automatically evaluate the first step data in accordance with a first step data evaluation rule. When the first step data complies with the first step data evaluation rule, the server may permit receipt of second step data about a task analysis and update the task analysis data store. The server may then automatically evaluate the second step data in accordance with a second step data evaluation rule. When the second step data complies with the second step data evaluation rule, the server may permit receipt of third step data about analysis presentation and update the task analysis data store.
Owner:HARTFORD FIRE INSURANCE

Roof risk data analytics system to accurately estimate roof risk information

According to some embodiments, a risk relationship data store may contain electronic records, each electronic record representing a risk relationship between an enterprise and a risk relationship provider (e.g., an insurer), and including, for each risk relationship, an electronic record identifier and a set of roof attribute values. A back-end application computer server may receive, from a third-party data source, roof information for a roof of a building associated with a risk relationship. The computer server may then correlate the received roof information with a particular electronic record in the risk relationship data store. A roof attribute value of the particular electronic record may be updated in accordance with the roof information received from the third-party data source, and a predictive analytics engine of the computer server may then calculate a roof risk score associated with the particular electronic record.
Owner:HARTFORD FIRE INSURANCE

Processing system to facilitate multi-region risk relationships

ActiveUS20200311821A1Faster and accurate resultFacilitate the creation of multi-region electronic record informationFinanceExecution for user interfacesApplication computersEngineering
A multi-region risk relationship data store may contain electronic records representing a plurality of multi-region risk relationships and, for each multi-region risk relationship, an electronic record identifier and a set of multi-region attribute values including a plurality of hierarchical local risk relationship attribute values. A back-end application computer server may receive an indication of a selected risk relationship and display at least some of the associated multi-region attribute values. The server may receive adjustments to some of the multi-region or local risk-relationship attribute values, and displayed information may be automatically and dynamically configured based on the received adjustments and a standalone risk calculation unit. At least some local risk relationship attribute values may be replicated for multiple regions. When adjustments have been completed, the server may automatically assemble a multi-region risk relationship document.
Owner:HARTFORD FIRE INSURANCE
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