A system may include a directory-based identity-related services component that authenticates and authorizes enterprise users and computers in a network and enforces security policies. A business intelligence, application development, and application connectivity component may implement business workflow products and exchange application authentication data with the directory-based identity-related services component. A database storage component may provide document management and storage of dashboard tables and lists associated with inventory data received from the business intelligence, application development, and application connectivity component. A cloud-based storage and data management engine may exchange secure authentication storage data with the business intelligence, application development, and application connectivity component. At least one governance or user application may then automatically determine enterprise site inventory information, and, responsive to the determined enterprise site inventory information, automatically determine enterprise site membership information. The dashboard tables and lists may be exchanged in support of a graphical user display.
A multi-vendor risk relationship data store may contain electronic records representing a plurality of risk relationships between multiple vendors and an enterprise and, for each risk relationship, an electronic record identifier and a set of attribute values. An information sharing portal computer server may exchange an information request with a remote vendor platform. The information request may be, for example, associated with an employee of a sponsor associated with the vendor platform. The server may process the information request via a customized vendor-specific information sharing portal interface display and execute an algorithm to adjust, based on at least one attribute value, interactions with the vendor platform via the portal interface display. The server may also aggregate information associated with a plurality of vendor platforms and transmit the aggregated information to a remote administrator device associated with the enterprise.
A back-end application computer server may access a location data store containing information about a set of locations to be visited, including location identifiers and location coordinates. The computer server may then prioritize the locations to be visited. A mobile unit data store may contain information about a set of mobile units, including mobile unit identifiers, mobile unit location coordinates, and mobile unit communication addresses. The computer server may then automatically assign each location to a mobile unit based on the location coordinates, the mobile unit location coordinates, at least one geo-fence, and the prioritization. Indications of assigned locations may be transmitted to each mobile unit via the associated mobile unit communication address, and electronic messages may be exchanged to support an interactive user interface display associated with assignments of locations to mobile units. According to some embodiments, the back-end computer server facilitates collection of location information from mobile devices.
G06F 3/04817 - Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance using icons
G06F 3/0482 - Interaction with lists of selectable items, e.g. menus
H04W 4/021 - Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
H04W 4/029 - Location-based management or tracking services
A system and method for providing and utilizing a proxy to provide group benefits products is disclosed. The system and method include providing at least one variable for calculating applicability and cost of a group benefits product by proxy, wherein the proxy is provided by information included in at least a workers compensation (WC) system. The at least one variable may include WC average salary, area, industry, blue score and/or median household age. The group benefit product may be a long term disability insurance product and/or a life insurance product.
36 - Financial, insurance and real estate services
Goods & Services
Insurance services, namely, providing insurance rate quotes, underwriting, issuing, claim administration, claim processing, consultation, agency and brokerage services in the fields of property and casualty insurance, business and commercial insurance, commercial general liability insurance, reinsurance, disability insurance, workers compensation insurance, managed health care insurance, long term care insurance, group benefit insurance, group accident insurance, group reinsurance, specialty commercial insurance, marine insurance, cyber insurance, data breach insurance, and for all types of insurance; Employee benefits, namely, administrative services for employee benefits in the nature of providing information about employee financial benefit plans and administration of employee benefit plans all provided in connection with financial and insurance benefits and benefit plans; Financial services, namely, asset management, financial analysis, financial consultation, financial advice, financial planning, and investment advisory services, and financial portfolio management services
36 - Financial, insurance and real estate services
Goods & Services
Insurance services, namely, insurance quoting, underwriting,
issuing, claim administration, claim processing,
consultation, agency and brokerage services in the fields of
property and casualty insurance, business and commercial
insurance, commercial general liability insurance, auto
insurance, accident insurance, homeowners insurance, flood
insurance, fire insurance, motor vehicle insurance,
reinsurance, disability insurance, workers compensation
insurance, managed health care insurance, long term care
insurance, group benefit insurance, group accident
insurance, group reinsurance, specialty commercial
insurance, marine insurance, cyber insurance, data breach
insurance, motorcycle insurance, boat insurance, and for all
types of insurance; insurance services in the nature of loss
control management for others; employee benefits, namely,
administrative services for employee benefits and
administration of employee benefit plans all provided in
connection with financial and insurance benefits and benefit
plans; estate services, namely, estate trust management
services and estate planning services; financial services,
namely, asset management, financial analysis, consultation,
advice, planning, and investment services, and financial
portfolio management services; investment services, namely,
investment management, investment advice, investment
brokerage, investment consultation, asset management and
advisory services in the fields of mutual funds, college
savings, retirement planning, and investment management;
mutual fund services, namely, mutual fund brokerage
services, establishing mutual funds for others, brokerage
and administration of mutual funds, fund investment, fund
investment consultation, and mutual fund distribution;
financial risk management services, namely, risk management
consultation and risk financing services; sponsorship and
philanthropic services, namely, financial sponsorship of
athletic events and teams, and cultural, media and
exhibitions focusing on the abilities of all people
including people with disabilities.
8.
FRAMEWORK FOR MIGRATING APPLICATIONS TO CLOUD COMPUTING ENVIRONMENT
A cloud migration framework may include an enterprise application data store that contains electronic records associated with enterprise applications. Each record may include, for example, an electronic record identifier and enterprise application parameters. A data repository stores a catalogue of cloud computing patterns. A back-end application computer server retrieves information from the enterprise application data store and, based on enterprise application parameters, creates a move group representing a subset of the enterprise applications. For each application in the move group, the computer server identifies whether an appropriate cloud computing pattern exists in the catalogue. If an appropriate cloud computing pattern is identified, it is used to automatically create a reference implementation of the enterprise application in a cloud computing environment. If no appropriate cloud computing pattern is identified, a pattern on-boarding process may be initiated to add a new cloud computing pattern to the catalogue.
A potential risk relationship data store may contain electronic records representing a plurality of potential risk relationships with an enterprise. An existing risk relationship data store may contain electronic records representing a plurality of existing risk relationships, of various types, between entities and the enterprise. A back-end application computer server may access information in the potential risk relationship data store and the existing risk relationship data store. The computer server may then transmit, to a first user device, a grid display of information about a subset of the electronic records in the potential risk relationship data store. Moreover, information about electronic records not in the subset is blocked from being transmitted to the first user device. The computer server may then receive, from the first remote user device, an annotation associated with a selected entity and store the received annotation such that it is accessible via a second user device.
According to some embodiments, a risk monitoring data store may contain a set of electronic data records, with each electronic data record being associated with a stream of sensor data received via a communication network from a remote set of sensor systems located at a risk monitoring site. A risk analytics platform computer may receive information associated with the sensor data in substantially real-time and analyze the received sensor data, using at least one risk analytics algorithm, to detect an abnormal pattern associated with a predicted elevated level of risk at the risk monitoring site. The risk analytics platform computer may also automatically transmit a result of the analysis to a risk operations platform. The risk operations platform may then implement an active risk mitigation adjustment at the risk monitoring site responsive to the result of the analysis.
H04L 67/12 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
H04L 67/125 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
11.
SYSTEM AND METHOD FOR CLAIMS MEDICAL RECORD AUTOMATION
A system may include an incoming image document data store containing electronic records. Each record may include an image document identifier and an image file along with associated optical character recognition and natural language processing information generated by a cloud-based computing environment. An incoming image document tool receives, from a remote user device, an indication of a selected image document. The tool may then retrieve information about the selected image document and automatically map at least some of the associated optical character recognition and natural language processing information to pre-defined document classification fields. The tool may display the mapped information and receive an indication of acceptance. The mapped information and image file may then be stored in an enterprise data store and a workflow may be automatically assigned to the selected image document in accordance with the mapped information and enterprise logic.
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
36 - Financial, insurance and real estate services
Goods & Services
(1) Insurance services, namely, insurance quoting, underwriting, issuing, claim administration, claim processing, consultation, agency and brokerage services in the fields of property and casualty insurance, business and commercial insurance, commercial general liability insurance, auto insurance, accident insurance, homeowners insurance, flood insurance, fire insurance, motor vehicle insurance, reinsurance, disability insurance, workers compensation insurance, managed health care insurance, long term care insurance, group benefit insurance, group accident insurance, group reinsurance, specialty commercial insurance, marine insurance, cyber insurance, data breach insurance, motorcycle insurance, boat insurance, and for all types of insurance; insurance services in the nature of loss control management for others; employee benefits, namely, administrative services for employee benefits and administration of employee benefit plans all provided in connection with financial and insurance benefits and benefit plans; estate services, namely, estate trust management services and estate planning services; financial services, namely, asset management, financial analysis, consultation, advice, planning, and investment services, and financial portfolio management services; investment services, namely, investment management, investment advice, investment brokerage, investment consultation, asset management and advisory services in the fields of mutual funds, college savings, retirement planning, and investment management; mutual fund services, namely, mutual fund brokerage services, establishing mutual funds for others, brokerage and administration of mutual funds, fund investment, fund investment consultation, and mutual fund distribution; financial risk management services, namely, risk management consultation and risk financing services; sponsorship and philanthropic services, namely, financial sponsorship of athletic events and teams, and cultural, media and exhibitions focusing on the abilities of all people including people with disabilities.
13.
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.
According to some embodiments, systems and methods are provided, including receiving a prompt; determining, by at least one of an image component and a text component, a personal identifiable information (PII) status for the prompt; returning a PII response; receiving selection of a large language model (LLM) in a case the PII status is PII-free; determining a large language model status; transmitting the prompt to the selected LLM based on the large language model status; and receiving a large language model (LLM) output. Numerous other aspects are provided.
An enterprise risk relationship document back-end application computer server receives a risk relationship document request associated with a particular risk relationship identifier. Responsive to the risk relationship document request, the computer server retrieves information from a risk relationship data store. The risk relationship data store may, for example, contain electronic records for a plurality of risk relationships between the enterprise and parties, and, for each risk relationship, a risk relationship identifier, a party identifier, a communication address, and at least one risk relationship parameter. Based on the retrieved information, a risk relationship document may be automatically created. The computer server may automatically establish a communication link and transmit information about the risk relationship document to the communication address associated with the particular risk relationship identifier. The computer server may also exchange data with a remote device to support interactive user interface displays that include information about the risk relationship document.
A device and method are described for a universal analytical data mart and data structure for same. The analytical data mart (ADM) associated data structure is designed to allow data from disparate sources to be integrated, enabling streamlined business intelligence, reporting and ad hoc analysis. Conceptually, the ADM enables analytics and business intelligence from multiple frames of reference including people, such as parties and actors including individuals and organizations, places, such as addresses with geographic information at various levels of view, objects, such as insured properties, automobiles and machinery, and events, milestones which happen at points in time and provide analytical/business value.
G06F 16/28 - Databases characterised by their database models, e.g. relational or object models
G06F 16/25 - Integrating or interfacing systems involving database management systems
G06Q 20/10 - Payment architectures specially adapted for electronic funds transfer [EFT] systemsPayment architectures specially adapted for home banking systems
An absence data store contains electronic records associated with absence identifiers. For each absence identifier, the data store includes an employee identifier, an absence type, and absence parameters. An employee data store contains electronic records for accounts having risk relationships with an enterprise. A back-end application computer server may associate a selected absence identifier in the absence data store with an account having a risk relationship with the enterprise. The computer server may then retrieve absence parameters from the absence data store and risk relationship parameters from the employee data store and aggregate absence parameters associated with a plurality of absence types for the selected employee identifier. The computer server may also facilitate an exchange of data with a remote device to support interactive user interface displays that include information about the aggregated absence parameters.
An enterprise cyber security back-end application computer server may receive a Chief Information Security Office (“CISO”) request. Responsive to the CISO request, the computer server may automatically create an enterprise application reference implementation. Based on CISO parameters in a CISO data store, the computer server may automatically transmit information about the reference implementation to a communication address associated with a CISO party. Similarly, based on Chief Information Office (“CIO”) parameters in a CIO data store, the computer server may automatically transmit information about the reference implementation to a communication address associated with a CIO party. Data may then be exchanged with a remote device via a distributed communication network to support interactive user interface displays that include information about the reference implementation.
An enterprise platform may retrieve, from a collaboration data store, information about a selected enterprise team. The enterprise platform may then transmit, from a set of integration tools to a workflow tool of a remote cloud-based environment, a data payload including a notification request associated with a channel. The enterprise platform may also transmit, from a runtime environment to a business communication platform of the cloud-based environment, a request to post a notification to the channel and arrange for a member of the selected enterprise team to receive an adaptive information card, pushed by the business communication platform via the channel, containing information associated with at least one of the integration tools. The member who receives the adaptive information card may also, via selection of a graphical icon on the card, respond to the business communication platform via bi-directional communication.
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.
A system and method for technology currency monitoring of components in a computer system includes receiving data indicative of a value for each of a plurality of technology debt attributes and at least one strategic criticality attribute for each of the components; responsive to receipt of the values, calculating a technology currency score for each of the components based on (1) a sum of the values of each of the plurality of technology debt attributes, and (2) a sum of the values of the at least one strategic criticality attribute; and transmitting the calculated technology currency score for each of the components to one or more user devices.
According to some embodiments, systems and methods are provided, comprising: creating, via an application workflow component, one or more workflows; storing, by a database storage component, data received from the application workflow component; creating, by an application development component, one or more application products; exchanging, via an integrated delivery platform, Application Programming Interface (API) data with multiple connected components, the API data including one or more API endpoints; executing the created workflow in connection with the application product and outputting data; responsive to the output data, automatically updating a plurality of files stored in the database storage component with the output data; generating at least one report for the updated file; and publishing the at least one report. Numerous other aspects are provided.
36 - Financial, insurance and real estate services
Goods & Services
Insurance services, namely, providing insurance rate quotes, underwriting, issuing, claims administration , consultation, agency, and brokerage in the fields of property, casualty, business, commercial, auto, accident, homeowners, flood, fire, motor vehicle, reinsurance, disability, workers compensation, managed health care, long term care, group benefits, specialty commercial, marine, cyber, data breach, motorcycle, and boat insurance; Insurance services in the nature of loss control management for others; Employee benefits services namely administrative services of employee benefit plans all provided in connection with financial and insurance benefits; Financial and investment services namely management, brokerage, asset management, advisory services, financial analysis, consultation, planning and investment services; Estate trust management and planning; Financial investment brokerage; Financial retirement planning services; Investment management services in the field of college savings; Financial portfolio management; Mutual fund services namely, mutual fund brokerage, administration of mutual funds, fund investment, fund investment consultation, and mutual fund distribution; Financial risk management services, namely, risk management consultation and risk financing services; Sponsorship and philanthropic services namely financial sponsorship of athletic events
24.
External file sharing operational security and governance platform
Embodiments may provide External File Sharing (“EFS”) systems and methods via a back-end application computer server of an enterprise. A governance platform may identify an internal enterprise file to be shared external to the enterprise. The governance platform may then associate information in the identified internal enterprise file with at least one sensitivity label (e.g., company confidential, highly restricted, etc.). The governance platform can then automatically arrange, via a site of a cloud-based online collaborative platform, for a remote guest user device to access the information in the identified internal enterprise file in accordance with the at least one sensitivity label. A communication port, coupled to the back-end application computer server, may provide an EFS graphical user interface to an administrator device, internal to the enterprise, via a distributed communication network. The graphical user interface may, for example, exchange information indicating the at least one sensitivity label.
G06F 21/57 - Certifying or maintaining trusted computer platforms, e.g. secure boots or power-downs, version controls, system software checks, secure updates or assessing vulnerabilities
G06F 21/64 - Protecting data integrity, e.g. using checksums, certificates or signatures
H04L 29/06 - Communication control; Communication processing characterised by a protocol
H04L 41/22 - Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks comprising specially adapted graphical user interfaces [GUI]
H04L 67/06 - Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]
25.
SYSTEM TO MONITOR AND PROCESS RISK RELATIONSHIP SENSOR DATA
A plurality of risk relationship sensors, including at least one image capturing sensor (e.g., a camera), may each include an environment characteristic detection element, a power source, and a communication device to transmit data associated with risk relationship sensor data at a site. A risk relationship data store may contain electronic records associated with prior risk relationship events at other sites along with risk relationship sensor location data for those sites. An enterprise analytics platform may automatically analyze the electronic records in the risk relationship data store to create a predictive analytics algorithm. The data associated with potential risk relationship sensor data at the site may then be automatically analyzed, in substantially real-time, using the predictive analytics algorithm, and a result of the analysis may then be transmitted (e.g., to a party associated with the site).
36 - Financial, insurance and real estate services
Goods & Services
Insurance services, namely, providing insurance rate quotes, underwriting, issuing, claim administration, claim processing, consultation, agency and brokerage services in the fields of property and casualty insurance, business and commercial insurance, commercial general liability insurance, auto insurance, accident insurance, homeowners insurance, flood insurance, fire insurance, motor vehicle insurance, reinsurance, disability insurance, workers compensation insurance, managed health care insurance, long term care insurance, group benefit insurance, group accident insurance, group reinsurance, specialty commercial insurance, marine insurance, cyber insurance, data breach insurance, motorcycle insurance, boat insurance, and for all types of insurance; Insurance services in the nature of loss control management for others; Employee benefits, namely, administrative services for employee benefits and administration of employee benefit plans all provided in connection with financial and insurance benefits and benefit plans; Estate services, namely, estate trust management services and estate planning services; Financial services, namely, asset management, financial analysis, financial consultation, financial advice, planning, and investment advisory services, and financial portfolio management services; Investment services, namely, investment management, investment advice, investment brokerage, investment consultation, asset management and advisory services in the fields of mutual funds, college savings, retirement planning, and investment management; Mutual fund services, namely, mutual fund brokerage services, establishing mutual funds for others, brokerage and financial administration of mutual funds, fund investment, fund investment consultation, and mutual fund distribution; Financial risk management services, namely, financial risk management consultation and risk financing services; Sponsorship and philanthropic services, namely, financial sponsorship of athletic events and teams
36 - Financial, insurance and real estate services
Goods & Services
Insurance services, namely, providing insurance rate quotes, underwriting, issuing, claim administration, claim processing, consultation, agency and brokerage services in the fields of property and casualty insurance, business and commercial insurance, commercial general liability insurance, auto insurance, accident insurance, homeowners insurance, flood insurance, fire insurance, motor vehicle insurance, reinsurance, disability insurance, workers compensation insurance, managed health care insurance, long term care insurance, group benefit insurance, group accident insurance, group reinsurance, specialty commercial insurance, marine insurance, cyber insurance, data breach insurance, motorcycle insurance, boat insurance, and for all types of insurance; Insurance services in the nature of loss control management for others; Employee benefits, namely, administrative services for employee benefits and administration of employee benefit plans all provided in connection with financial and insurance benefits and benefit plans; Estate services, namely, estate trust management services and estate planning services; Financial services, namely, asset management, financial analysis, financial consultation, financial advice, planning, and investment advisory services, and financial portfolio management services; Investment services, namely, investment management, investment advice, investment brokerage, investment consultation, asset management and advisory services in the fields of mutual funds, college savings, retirement planning, and investment management; Mutual fund services, namely, mutual fund brokerage services, establishing mutual funds for others, brokerage and financial administration of mutual funds, fund investment, fund investment consultation, and mutual fund distribution; Financial risk management services, namely, financial risk management consultation and risk financing services; Sponsorship and philanthropic services, namely, financial sponsorship of athletic events and teams
According to some embodiments, a hail history storage device may store information periodically received from a remote third-party weather reporting service. A hail history score request associated with a geographic location and a date range may be received from a remote requester device. Responsive to the received hail history score request, a computer processor of a hail history server may automatically access information in the hail history storage device based on the geographic location and date range. Moreover, the computer processor may automatically evaluate accessed information to calculate a hail history score value. The computer processor may then transmit, to the remote requester device, historical hail evaluation data including the calculated hail history score value.
36 - Financial, insurance and real estate services
Goods & Services
Insurance services, namely, providing insurance rate quotes, underwriting, issuing, claim administration, claim processing, consultation, agency and brokerage services in the fields of property and casualty insurance, business and commercial insurance, commercial general liability insurance, auto insurance, accident insurance, homeowners insurance, flood insurance, fire insurance, motor vehicle insurance, reinsurance, disability insurance, workers compensation insurance, managed health care insurance, long term care insurance, group benefit insurance, group accident insurance, group reinsurance, specialty commercial insurance, marine insurance, cyber insurance, data breach insurance, motorcycle insurance, boat insurance, and for all types of insurance; Insurance services in the nature of loss control management for others; Employee benefits, namely, administrative services for employee benefits in the nature of providing information about employee financial benefit plans and administration of employee benefit plans all provided in connection with financial and insurance benefits and benefit plans; Estate services, namely, estate trust management services and estate planning services; Financial services, namely, financial asset management, financial analysis, financial consultation, financial advice, financial planning, and investment advisory, banking, risk assessment services, and financial portfolio management services; Investment services, namely, investment management, investment advice, investment brokerage, investment consultation, financial asset management and investment advisory services in the fields of mutual funds, college savings, retirement planning, and investment management; Mutual fund services, namely, mutual fund brokerage services, establishing mutual funds for others, brokerage and financial administration of mutual funds, fund investment, fund investment consultation, and mutual fund distribution; Financial risk management services, namely, financial risk management consultation and risk financing services; Sponsorship and philanthropic services, namely, financial sponsorship of athletic events and teams, and cultural events, media and exhibitions focusing on the abilities of all people including people with disabilities
31.
SYSTEM AND METHOD FOR RESOURCE ALLOCATION CONTROL WITH DISPLAY
According to some embodiments, systems and methods are provided including instructions to: receive a workflow; retrieve a plurality of tasks associated with the received workflow; generate a timeline for execution of each task including for at least one task a lead time and a dependent task; receive a user assignment for each task; and transmit the timeline and the user assignment to a workflow scheduler and the assigned user. A communication port is coupled to the back-end application computer server to facilitate an exchange of data with a remote device to support interactive user interface displays that provide information about the timeline. Numerous other aspects are provided.
Embodiments may be associated with an enterprise cloud-based computing environment. A computer processor of an enterprise authorization management tool may receive, from a user device, a request for third-party authorization to utilize functionality associated with the cloud-based computing environment (e.g., a software license). Based on the received request, the enterprise authorization management tool may determine if the request is approved. If the request is approved, the enterprise authorization management tool may automatically transmit information to a third-party authorization assignment platform. Upon confirmation from the authorization assignment platform, the enterprise authorization management tool may transmit a notification to the user device indicating that third-party authorization has been obtained. The third-party authorization assignment platform may, according to some embodiments, automatically arrange to obtain authorization for the requested functionality from the third-party.
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.
36 - Financial, insurance and real estate services
Goods & Services
Insurance services, namely, providing insurance rate quotes, underwriting, issuing, claim administration, claim processing, consultation, agency and brokerage services in the fields of property and casualty insurance, business and commercial insurance, commercial general liability insurance, auto insurance, accident insurance, homeowners insurance, flood insurance, fire insurance, motor vehicle insurance, reinsurance, disability insurance, workers compensation insurance, managed health care insurance, long term care insurance, group benefit insurance, group accident insurance, group reinsurance, specialty commercial insurance, marine insurance, cyber insurance, data breach insurance, motorcycle insurance, boat insurance, and for all types of insurance; Insurance services in the nature of loss control management for others; Employee benefits, namely, administrative services for employee benefits in the nature of providing information about employee financial benefit plans and administration of employee benefit plans all provided in connection with financial and insurance benefits and benefit plans; Estate services, namely, estate trust management services and estate planning services; Financial services, namely, financial asset management, financial analysis, financial consultation, financial advice, financial planning, and investment advisory, banking, risk assessment services, and financial portfolio management services; Investment services, namely, investment management, investment advice, investment brokerage, investment consultation, financial asset management and investment advisory services in the fields of mutual funds, college savings, retirement planning, and investment management; Mutual fund services, namely, mutual fund brokerage services, establishing mutual funds for others, brokerage and financial administration of mutual funds, fund investment, fund investment consultation, and mutual fund distribution; Financial risk management services, namely, financial risk management consultation and risk financing services; Sponsorship and philanthropic services, namely, financial sponsorship of athletic events and teams, and cultural events, media and exhibitions focusing on the abilities of all people including people with disabilities
36 - Financial, insurance and real estate services
Goods & Services
Insurance services, namely, providing insurance rate quotes, underwriting, issuing, claim administration, claim processing, consultation, agency and brokerage services in the fields of property and casualty insurance, business and commercial insurance, commercial general liability insurance, auto insurance, accident insurance, homeowners insurance, flood insurance, fire insurance, motor vehicle insurance, reinsurance, disability insurance, workers compensation insurance, managed health care insurance, long term care insurance, group benefit insurance, group accident insurance, group reinsurance, specialty commercial insurance, marine insurance, cyber insurance, data breach insurance, motorcycle insurance, boat insurance, and for all types of insurance; Insurance services in the nature of loss control management for others; Employee benefits, namely, administrative services for employee benefits in the nature of providing information about employee financial benefit plans and administration of employee benefit plans all provided in connection with financial and insurance benefits and benefit plans; Estate services, namely, estate trust management services and estate planning services; Financial services, namely, financial asset management, financial analysis, financial consultation, financial advice, financial planning, and investment advisory, banking, risk assessment services, and financial portfolio management services; Investment services, namely, investment management, investment advice, investment brokerage, investment consultation, financial asset management and investment advisory services in the fields of mutual funds, college savings, retirement planning, and investment management; Mutual fund services, namely, mutual fund brokerage services, establishing mutual funds for others, brokerage and financial administration of mutual funds, fund investment, fund investment consultation, and mutual fund distribution; Financial risk management services, namely, financial risk management consultation and risk financing services; Sponsorship and philanthropic services, namely, financial sponsorship of athletic events and teams, and cultural events, media and exhibitions focusing on the abilities of all people including people with disabilities
36.
DIFFERENTIAL EVOLUTION ALGORITHM TO ALLOCATE RESOURCES
Some embodiments are directed to a resource allocation analysis system implemented via a back-end application computer server. A resource data store may contain electronic records associated with a set of resource types, each electronic record including an electronic record identifier and resource parameter. The back-end application computer server may receive, from the resource data store, information about a set of resource types to be analyzed, including the associated resource parameters. The computer server may then execute a differential evolutionary algorithm to optimize the set of resource types based on at least one non-linear constraint and generate resource analysis results. The back-end application computer server may, according to some embodiments, perform a resampling process that uses non-parameterized historical data, regression on at least one resource type, and moment matching.
Some embodiments are directed to a regulatory compliance tool implemented via a back-end application computer server. A location based regulatory compliance data store may contain electronic records associated with a set of locations. Each electronic record may include, for example, an electronic record identifier and at least one regulatory compliance parameter. The computer server may receive, from a user via an interactive graphical user interface display, a set of task indications associated with regulatory compliance. The computer server may also receive, from the user, a selected location from a set of potential locations. The computer server may then retrieve, from the location based regulatory compliance data store, information about the at least one regulatory compliance parameter associated with the selected location. The computer server may then update the display based on the retrieved information about the at least one regulatory compliance parameter associated with the selected location.
42 - Scientific, technological and industrial services, research and design
Goods & Services
Design of information graphics and data visualization materials for electronic visualization of insurance claim related information; providing temporary use of on-line non-downloadable software for creating and viewing electronic visualization of insurance claim related information
36 - Financial, insurance and real estate services
Goods & Services
Financial asset management services; Financial analysis and consultation in the fields of investments and retirement planning; Financial portfolio management services; Financial management; Financial portfolio analysis services; Financial services in the nature of an investment security; Investment services, in the nature of investment brokerage services; Investment management and advisory services in the fields of mutual funds; Investment distribution, namely, distribution of mutual funds; Mutual fund advisory services; Mutual fund brokerage services; Establishing mutual funds for others; Mutual fund brokerage and financial administration of mutual funds; Funds investment; Fund investment consultation; Mutual fund distribution; Charitable philanthropic services, namely, providing financial sponsorship of athletic events and teams, and exhibitions focusing on the abilities of all people including people with disabilities
41.
SYSTEM AND METHOD FOR TELEMATICS ACCOUNTS ON-THE-GROUND SAFETY
Some embodiments are directed to an emergency response system implemented via a back-end application computer server. A vehicle telematics data store may contain electronic records and each electronic record may include, for example, an electronic record identifier and at least one vehicle operation parameter (e.g., a vehicle speed, an accident location, an accident time of day, etc.). The computer server may receive, from an emergency responder (e.g., a police officer, ambulance, firefighter, etc.) via an interactive graphical emergency responder interface display, a vehicle tag (e.g., based on a QR code). The computer server may then retrieve, from the vehicle telematics data store, a vehicle operation parameter associated with the vehicle tag and update the display based on the retrieved a vehicle operation parameter associated with the vehicle tag.
G08B 27/00 - Alarm systems in which the alarm condition is signalled from a central station to a plurality of substations
H04W 4/02 - Services making use of location information
H04W 4/44 - Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P] for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]
H04W 4/90 - Services for handling of emergency or hazardous situations, e.g. earthquake and tsunami warning systems [ETWS]
42.
SYSTEM TO FACILITATE PROPRIETARY DATA RESTRICTION COMPLIANCE FOR AN ENTERPRISE
According to some embodiments, an enterprise proprietary data store contains a set of electronic data records, each electronic data record having with proprietary data and an associated governance structure. A compliance computer platform may receive the proprietary data and associated governance structure from the enterprise proprietary data store and define enterprise-wide decision accountabilities for the proprietary data based on the governance structure. The compliance computer platform may also define privacy objectives for the proprietary data based on the governance structure along with specific machine-level controls to test and confirm compliance with the governance structure.
36 - Financial, insurance and real estate services
Goods & Services
Insurance services, namely, insurance quoting, underwriting, issuing, claim administration, claim processing, consultation, agency and brokerage services in the fields of property and casualty insurance, business and commercial insurance, commercial general liability insurance, auto insurance, accident insurance, homeowners insurance, flood insurance, fire insurance, motor vehicle insurance, reinsurance, disability insurance, workers compensation insurance, managed health care insurance, long term care insurance, group benefit insurance, group accident insurance, group reinsurance, specialty commercial insurance, marine insurance, cyber insurance, data breach insurance, motorcycle insurance, boat insurance, and for all types of insurance; Insurance services in the nature of loss control management for others; Employee benefits, namely, administrative services for employee benefits and administration of employee benefit plans all provided in connection with financial and insurance benefits and benefit plans; Estate services, namely, estate trust management services and estate planning services; Financial services, namely, asset management, financial analysis, consultation, advice, planning, and investment services, and financial portfolio management services; Investment services, namely, investment management, investment advice, investment brokerage, investment consultation, asset management and advisory services in the fields of mutual funds, college savings, retirement planning, and investment management; Mutual fund services, namely, mutual fund brokerage services, establishing mutual funds for others, brokerage and administration of mutual funds, fund investment, fund investment consultation, and mutual fund distribution; Financial risk management services, namely, risk management consultation and risk financing services; Sponsorship and philanthropic services, namely, financial sponsorship of athletic events and teams, and cultural, media and exhibitions focusing on the abilities of all people including people with disabilities
36 - Financial, insurance and real estate services
Goods & Services
Insurance services, namely, providing insurance rate quotes, underwriting, issuing, claim administration, claim processing, consultation, agency and brokerage services in the fields of property and casualty insurance, business and commercial insurance, commercial general liability insurance, auto insurance, accident insurance, homeowners insurance, flood insurance, fire insurance, motor vehicle insurance, reinsurance, disability insurance, workers compensation insurance, managed health care insurance, long term care insurance, group benefit insurance, group accident insurance, group reinsurance, specialty commercial insurance, marine insurance, cyber insurance, data breach insurance, motorcycle insurance, boat insurance, and for all types of insurance; Insurance services in the nature of loss control management for others; Employee benefits, namely, administrative services for employee benefits in the nature of providing information about employee financial benefit plans and administration of employee benefit plans concerning insurance and finance, all provided in connection with financial and insurance benefits and benefit plans; Estate services, namely, estate trust management services and estate planning services; Financial services, namely, financial asset management, financial analysis, financial consultation, financial advice, financial planning, and investment advisory services, and financial portfolio management services; Investment services, namely, investment management, investment advice, investment brokerage, investment consultation, financial asset management and advisory services in the fields of mutual funds, college savings, retirement planning, and investment management; Mutual fund services, namely, mutual fund brokerage services, establishing mutual funds for others, brokerage and financial administration of mutual funds, fund investment, fund investment consultation, and mutual fund distribution; Financial risk management services, namely, financial risk management consultation and risk financing services in the nature of financial risk assessment; Sponsorship and philanthropic services, namely, financial sponsorship of athletic events and teams, and cultural events, media and exhibitions focusing on the abilities of all people including people with disabilities
36 - Financial, insurance and real estate services
Goods & Services
Insurance services, namely, providing insurance rate quotes, underwriting, issuing, claim administration, claim processing, consultation, agency and brokerage services in the fields of property and casualty insurance, business and commercial insurance, commercial general liability insurance, auto insurance, accident insurance, homeowners insurance, flood insurance, fire insurance, motor vehicle insurance, reinsurance, disability insurance, workers compensation insurance, managed health care insurance, long term care insurance, group benefit insurance, group accident insurance, group reinsurance, specialty commercial insurance, marine insurance, cyber insurance, data breach insurance, motorcycle insurance, boat insurance, and for all types of insurance; Insurance services in the nature of loss control management for others; Employee benefits, namely, administrative services for employee benefits in the nature of providing information about employee financial benefit plans and administration of employee benefit plans concerning insurance and finance, all provided in connection with financial and insurance benefits and benefit plans; Estate services, namely, estate trust management services and estate planning services; Financial services, namely, financial asset management, financial analysis, financial consultation, financial advice, financial planning, and investment advisory services, and financial portfolio management services; Investment services, namely, investment management, investment advice, investment brokerage, investment consultation, financial asset management and advisory services in the fields of mutual funds, college savings, retirement planning, and investment management; Mutual fund services, namely, mutual fund brokerage services, establishing mutual funds for others, brokerage and financial administration of mutual funds, fund investment, fund investment consultation, and mutual fund distribution; Financial risk management services, namely, financial risk management consultation and risk financing services in the nature of financial risk assessment; Sponsorship and philanthropic services, namely, financial sponsorship of athletic events and teams, and cultural events, media and exhibitions focusing on the abilities of all people including people with disabilities
46.
Risk relationship resource allocation servicing system and method
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.
According to some embodiments, systems and methods are provided including instructions to: receive a request to generate a schedule for execution of a workflow associated with at least one product; retrieve one or more workflow parameters and one or more location parameters; input the retrieved one or more workflow parameters and one or more location parameters into a scheduler; automatically generate a workflow schedule via the scheduler based on the retrieved one or more workflow parameters and location parameters; import the generated workflow schedule to a project plan. Numerous other aspects are provided.
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.
G06Q 10/0637 - Strategic management or analysis, e.g. setting a goal or target of an organisationPlanning actions based on goalsAnalysis or evaluation of effectiveness of goals
G06Q 10/0639 - Performance analysis of employeesPerformance analysis of enterprise or organisation operations
In some embodiments, an input document is received at a tagging platform, via a communication device, and associates it with a tag request. The tagging platform automatically selects at least one electronic record associated with a first user from a user data store containing electronic records associated with users (each record including at least a user identifier and a user communication address). The input document and tag request are transmitted to the communication address associated with the first user, and a document tag is received from the first user. The tagging platform may then store the document tag in a document mining result database by adding an entry to the database identifying the received document tag and transmit an indication associated with the document mining result database to a plurality of risk applications.
A computer server receives, from a remote user device, information about a new potential risk relationship customer (including at least one new user parameter). Based on the new user parameter, the computer server accesses third-party data and utilizes a stored procedure to read data about the new potential risk relationship customer from an internal table of cloud data. The data read from the internal table is processed to dynamically evolve a schema and create an incremental view of cloud data. The computer server uses the incremental view to read and output a current batch of cloud data. A user interface workflow is then customized via a machine learning algorithm that processes the information about the new potential risk relationship customer, the third-party data, and the current batch of cloud data. A user information data store can then be updated based on information collected via user interface displays.
An entity interaction data store contains electronic records associated with interaction identifiers. For each interaction identifier, the data store includes an account identifier, an entity identifier, and interaction parameters. A risk relationship data store contains electronic records for accounts having risk relationships with an enterprise. A back-end application computer server may associate selected interaction identifiers in the entity interaction data store with selected accounts having risk relationships with the enterprise. The computer server may then retrieve interaction parameters from the entity interaction data store and risk relationship parameters from the risk relationship data store and provide the retrieved interactions parameters to an enterprise predictive model that outputs an interaction insight result. The computer server may also facilitate an exchange of data with a remote device to support interactive user interface displays that include information about the interaction insight result.
According to some embodiments, systems and methods are provided including a plurality of internal data systems; a plurality of external data systems; a back-end application computer server, coupled to the plurality of internal data systems and the plurality of external data systems, the back-end application computer server including: a computer processor, and a computer memory, coupled to the computer processor, storing instructions that, when executed by the computer processor, cause the back-end application computer server to: receive an event onboarding request; receive selection of a first external data system of the plurality of external data systems and an event type; and generate an event record based on the selected first external data system and the event type. Numerous other aspects are provided.
A mental health equipment data store may contain electronic records associated with mental health equipment identifiers. For each mental health equipment identifier, the data store may include a communication address and associated equipment parameters. A risk relationship data store may contain electronic records associated with parties having risk relationships with an enterprise. A back-end application computer server may associate a selected equipment identifier in the mental health equipment data store with a selected party having a risk relationship with the enterprise. The server may update the risk relationship data store with the selected equipment identifier and arrange to collect selected mental health data for the selected party in accordance with the communication address of the selected equipment identifier. The selected mental health data is input to a predictive model algorithm, and the server automatically executes a treatment workflow for the selected party based on an output of the algorithm.
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
54.
SYSTEM AND METHOD TO PROVIDE HUB FOR RISK MANAGEMENT TOOL
A risk assessment project data store contains electronic records associated with risk assessment project identifiers. For each risk assessment project identifier, the data store includes a location and associated risk coverages. A risk relationship data store contains electronic records for parties having risk relationships with an enterprise. A back-end application computer server may associate a selected risk assessment project identifier in the risk assessment project data store with a selected party having a risk relationship with the enterprise. The computer server may then receive from a user an adjustment to at least one of the location and risk coverages associated with the selected risk assessment project identifier. A risk analysis is automatically performed based on the adjusted location and risk coverages along with information retrieved from the risk relationship data store and the risk assessment project data store can then be updated with a result of the risk analysis.
Providing an online employee benefits portal used by employees for managing, organizing and planning employee benefit plans concerning leaves of absence
A plurality of water-related sensors may each include an environmental characteristic detection element, a power source, and a communication device to transmit data associated with water-related data at a site. A water impact data store may contain electronic records associated with prior water-related events at other sites along with water-related sensor location data for those sites, and a third-party information interface may receive third-party information. An enterprise analytics platform may automatically analyze the electronic records in the water impact data store to create a predictive analytics algorithm. The data associated with potential water-related data at the site and the third-party information may then be automatically analyzed, in substantially real-time, using the predictive analytics algorithm, and a result of the analysis may then be transmitted (e.g., to a party associated with the site and/or an on-site water shut-off valve).
An entity data store contains electronic records associated with entities (e.g., businesses). For each entity, electronic records include an entity identifier, entity operational data, and parameters associated with that entity (e.g., business name, address, etc.). A resolution rule library contains electronic records associated with resolution rules, including a rule identifier and rule logic. An ingestion engine of a computer server receives big data input and accesses the resolution rule library. Based on resolution rule logic and the received big data input, the computer server automatically resolves that two electronic records with different entity identifiers are associated with a single entity. The computer server can then update the entity data store to reflect information for a resolved single entity identifier and automatically execute an enterprise workflow for a risk relationship between the enterprise and the entity represented by the resolved single entity identifier.
Embodiments may monitor utilization of a machine. A risk relationship data store may contain electronic records that represent a plurality of risk relationships with an enterprise. A device located proximate to the machine includes a plurality of sensors, each sensor configured to monitor at least one parameter (e.g., acceleration, speed, mileage, run-time and location sensors, etc.). A back-end application computer server may calculate an operator behavior score and a machine operation score based on sensor signals. The computer server may also determine a machine characteristics score and an amount of utilization associated with the machine. A risk relationship identifier associated with the machine is identified, and the computer server may automatically and dynamically update a resource amount associated with the risk relationship identifier based on the operator behavior score, the machine operation score, the machine characteristics score, and the amount of utilization associated with the machine.
G07C 5/00 - Registering or indicating the working of vehicles
G07C 5/08 - Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle, or waiting time
59.
Bi-directional enterprise software integration with collaboration tools
An enterprise platform may retrieve, from a collaboration data store, information about a selected enterprise team. The enterprise platform may then transmit, from a set of integration tools to a workflow tool of a remote cloud-based environment, a data payload including a notification request associated with a channel. The enterprise platform may also transmit, from a runtime environment to a business communication platform of the cloud-based environment, a request to post a notification to the channel and arrange for a member of the selected enterprise team to receive an adaptive information card, pushed by the business communication platform via the channel, containing information associated with at least one of the integration tools. The member who receives the adaptive information card may also, via selection of a graphical icon on the card, respond to the business communication platform via bi-directional communication.
A system may include a training candidate data store containing electronic records. Each record may include a training candidate identifier and a set of candidate parameters. A training candidate evaluation tool receives, from a remote evaluation device, an indication of a selected training candidate. The tool may then retrieve information about the selected training candidate and automatically calculate, using at least some of the candidate parameters, an enterprise data analyst training score for the selected training candidate. The tool may then transmit the enterprise data analyst training score to a remote evaluation device and receive an indication of acceptance. The enterprise data analyst training score and set of candidate parameters may then be stored in a result data store, and a training workflow may be automatically assigned to the selected training candidate in accordance with the enterprise data analyst training score and enterprise logic.
A cloud migration framework may include an enterprise application data store that contains electronic records associated with enterprise applications. Each record may include, for example, an electronic record identifier and enterprise application parameters. A data repository stores a catalogue of cloud computing patterns. A back-end application computer server retrieves information from the enterprise application data store and, based on enterprise application parameters, creates a move group representing a subset of the enterprise applications. For each application in the move group, the computer server identifies whether an appropriate cloud computing pattern exists in the catalogue. If an appropriate cloud computing pattern is identified, it is used to automatically create a reference implementation of the enterprise application in a cloud computing environment. If no appropriate cloud computing pattern is identified, a pattern on-boarding process may be initiated to add a new cloud computing pattern to the catalogue.
A system may include an incoming image document data store containing electronic records. Each record may include an image document identifier and an image file along with associated optical character recognition and natural language processing information generated by a cloud-based computing environment. An incoming image document tool receives, from a remote user device, an indication of a selected image document. The tool may then retrieve information about the selected image document and automatically map at least some of the associated optical character recognition and natural language processing information to pre-determined document data fields. The tool may display the mapped information and receive an indication of acceptance. The mapped information and image file may then be stored in an enterprise data store and a workflow may be automatically assigned to the selected image document in accordance with the mapped information and enterprise logic.
G16H 10/20 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for electronic clinical trials or questionnaires
G16H 10/60 - ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
63.
ENTERPRISE EQUIPMENT RISK MANAGEMENT SYSTEM AND METHOD
An enterprise data store may contain electronic records associated with enterprises (e.g., small businesses). For each enterprise, a set of electronic records may include an enterprise identifier, enterprise communication link data, and parameters associated with that enterprise (name, address, etc.). An enterprise equipment data store may contain electronic records associated with the plurality of enterprises. For each enterprise, a set of electronic records may include an enterprise identifier, enterprise equipment identifiers, and equipment parameters associated with each enterprise equipment identifier. A back-end application computer server may access the data stores to determine a selected enterprise identifier (and parameters associated with the selected enterprise identifier) and enterprise equipment parameters for the selected enterprise identifier. Based on the determined enterprise equipment parameters, the server may automatically generate at least one electronic message for the selected enterprise and transmit the electronic message in accordance with the enterprise communication link data.
Document creation systems and methods are provided for a potential risk relationship between an enterprise and an entity. A back-end application computer server may include a data collection engine to exchange information with a remote entity device associated with the entity. A bundle creation engine may receive the information about the entity and automatically and dynamically create a potential bundle of optional risk relationship components (each associated with an electronic file representing an optional risk relationship component document). A presentation engine may present information about the potential bundle and receive an indication of a selected subset of the potential bundle of optional risk relationship components. A final document construction engine may automatically construct, based on the selected subset and associated electronic files representing component documents, an electronic file representing a risk relationship package document to be transmitted to the remote entity device.
36 - Financial, insurance and real estate services
Goods & Services
Insurance services for agents and insureds, namely insurance claims processing services, insurance underwriting services for all types of insurance, insurance risk management services, insurance premium audit services, and third party administrator (TPA) services in the nature of insurance administration services for personal, commercial and specialty insurance businesses
36 - Financial, insurance and real estate services
Goods & Services
Offering financial securities, namely, stock for sale; offering stock for sale; offering securities for sale on a stock or securities exchange; securities, namely capital stock, sold on a stock or securities exchange
67.
Closed-loop system incorporating risk analytic algorithm
According to some embodiments, a risk monitoring data store may contain a set of electronic data records, with each electronic data record being associated with a stream of sensor data received via a communication network from a remote set of sensor systems located at a risk monitoring site. A risk analytics platform computer may receive information associated with the sensor data in substantially real-time and analyze the received sensor data, using at least one risk analytics algorithm, to detect an abnormal pattern associated with a predicted elevated level of risk at the risk monitoring site. The risk analytics platform computer may also automatically transmit a result of the analysis to a risk operations platform. The risk operations platform may then implement an active risk mitigation adjustment at the risk monitoring site responsive to the result of the analysis.
H04L 67/12 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
H04L 67/125 - Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
68.
ENTERPRISE DATA TEST AUTOMATION AS A SERVICE FRAMEWORK
Embodiments may provide systems and methods to facilitate automated testing for an enterprise data application layer. An Automated Testing Framework (“ATF”) platform may receive, from a user, data test planning information that defines a test case. The ATF platform may interpret Application Programming Interface (“API”) information to implement a Data Test Automation-as-a-Service (“DTAaaS”) and detect a trigger event that initiates a test execution associated with the test case. In some embodiments, information about the test case is stored via a third-party enterprise team planning system and/or hosting service for software development and version control. Responsive to the detected trigger, the ATF platform may automatically arrange to execute the test case via the DTAaaS. A test result of the executed test case may then be output (e.g., pass, fail, or inconclusive).
According to some embodiments, an input device may receive wage statement information via a web portal, including jurisdiction information associated with an injury. A computer system may then ingest third-party data associated with an insured. An indication of a pay period frequency may be received from the insured along with an indication of an initial pay period begin date via the web portal. A series of pay period begin date and pay period end date fields may then be automatically pre-populated based on the jurisdiction, the third-party data, the pay period frequency, and initial pay period begin date. Wage values associated with a plurality of the pay period begin date and pay period end date fields may be received from the insured, and an electronic wage statement file may be generated based on the received wage values.
A data science model score database may contain electronic records, each including a data science model identifier and a set of data science model scores. A data science model score server, coupled to the data science model score database, may receive (from a remote user device) an indication of a selected data science model. The server may then retrieve, from the data science score database, information about the selected data science model. Based on the retrieved information, the server may automatically calculate a maturity score for the selected data science model in accordance with a scalable score, a service-oriented score, a validated score, and a productized score. When the server receives from the remote user device an adjustment to at least one of the scalable score, the service-oriented score, the validated score, and the productized score, it may automatically re-calculate the maturity score for the selected data science model.
A resource request data store contains electronic records connected to risk relationships with an enterprise (each record may represent a resource request and include a resource request identifier and request characteristics). A back-end application computer server retrieves request characteristics associated with a resource request for a first party. Based on the request characteristics and business rules, the server determines if the resource request for the first party should be immediately assigned to a request handler. If the request is not to be immediately assigned, the server arranges for the first party to answer a dynamic series of questions. Based on answers provided by the first party and a set of investigation rules, automatically determine if the resource request for the first party should be assigned to the request handler or to a specialist to investigate whether another enterprise may be responsible for responding to the resource request, the system utilizes a machine learning algorithm to evaluate resource requests currently assigned to the request handler to determine if any of those resource requests should instead be routed to the specialist. The resource request is then routed to a request handler or the specialist.
A plurality of risk relationship sensors, including at least one image capturing sensor (e.g., a camera), may each include an environment characteristic detection element, a power source, and a communication device to transmit data associated with risk relationship sensor data at a site. A risk relationship data store may contain electronic records associated with prior risk relationship events at other sites along with risk relationship sensor location data for those sites. An enterprise analytics platform may automatically analyze the electronic records in the risk relationship data store to create a predictive analytics algorithm. The data associated with potential risk relationship sensor data at the site may then be automatically analyzed, in substantially real-time, using the predictive analytics algorithm, and a result of the analysis may then be transmitted (e.g., to a party associated with the site).
A risk relationship data store contains electronic records that represent, for risk relationships with an enterprise: a risk relationship identifier, an autonomous machine identifier, at least one attribute value, and a resource amount. A device located proximate to an autonomous machine includes an interface for an entity associated with the autonomous machine and a transmitter to transmit a request signal generated via the interface. A back-end application computer server associates the request signal with a specific future operation of the autonomous machine and forwards information about the specific future operation to a remote risk relationship platform. The computer server then receives information about a potential risk relationship with another enterprise and transmits a risk relationship offer to the device located proximate to the autonomous machine. Responsive to an agreement signal received from the device located proximate to the autonomous machine, the risk relationship data store is updated.
G06Q 10/06 - Resources, workflows, human or project managementEnterprise or organisation planningEnterprise or organisation modelling
G05B 19/418 - Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
74.
SYSTEM AND METHOD FOR DATA QUALITY FRAMEWORK AND STRUCTURE
A validation database may contain electronic records connected to a data quality framework for an enterprise (including a set of data validation rules). A data central console platform may provide validation administration for the data quality framework and an operational dashboard using an interactive graphical display via a distributed communication network. A data loading platform may retrieve information to be validated from governed datasets. A data quality computer server may receive the information to be validated and retrieve, from the validation database, the set of data validation rules. The computer server may then automatically execute the set of data validation rules on the information to be validated to generate validation results and store the validation results. The data loading platform may automatically transmit an alert message via a communication link to a communication address based on the validation results generated by data quality computer server.
According to some embodiments, a ML framework for an enterprise may include an analytics data store containing electronic records that include record characteristics to be processed by a data as a service layer to create data virtualization. A ML feature pipeline may perform feature engineering based on the data virtualization to create a ML model, and a consumer layer may process operational system information utilizing a business rule engine. In addition, a real-time inference platform may expose an API endpoint associated with deployment of the ML model using the data received from the consumer layer. A CI/CD platform may then automatically provide feedback information to the ML feature pipeline regarding performance of the deployed ML model.
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.
Systems and methods are discussed for providing sensor enhanced safety, recovery, and activity evaluation systems. Sensors that monitor user activity and behavior are worn by a user and/or placed in the user environment. Data from the sensors are processed to obtain a safety, recovery, and/or activity evaluation. Based on the evaluation, recommendations or adjustments to the terms of an insurance policy covering the user, the user's employer, or a facility providing health care to the user, are generated, to accurately reflect the risks associated with the user, employer, and/or facility. In embodiments, an alert may be generated when a failure to conform with activity guidelines is detected.
G16H 50/30 - ICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indicesICT specially adapted for medical diagnosis, medical simulation or medical data miningICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for individual health risk assessment
78.
Interactive graphical user interface for insurance claim handlers including identifying insurance claim risks and health utilizing machine learning
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.
The present system and method is directed to a process to facilitate trusted sources of information in an enterprise. The present system and method positions data governance to move away from the element level and focus on the data asset (i.e. repository, interface, subject) level. When data persons are having any issue with their data asset, whether it is a conflicting data asset, interface issues, competing data asset, new data asset build, data subject issue, or the like, a certifier may operate to assess the asset based on our well defined metrics, determine the health through the data asset scoring process, recommend asset services, and provide those services to the data owner who is ultimately responsible for implementing them to improve the data and the data processes.
Embodiments may monitor utilization of a machine. A risk relationship data store may contain electronic records that represent a plurality of risk relationships with an enterprise. A device located proximate to the machine includes a plurality of sensors, each sensor configured to monitor at least one parameter (e.g., acceleration, speed, mileage, run-time and location sensors, etc.). A back-end application computer server may calculate an operator behavior score and a machine operation score based on sensor signals. The computer server may also determine a machine characteristics score and an amount of utilization associated with the machine. A risk relationship identifier associated with the machine is identified, and the computer server may automatically and dynamically update a resource amount associated with the risk relationship identifier based on the operator behavior score, the machine operation score, the machine characteristics score, and the amount of utilization associated with the machine.
G07C 5/00 - Registering or indicating the working of vehicles
G07C 5/08 - Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle, or waiting time
36 - Financial, insurance and real estate services
Goods & Services
Consultation services, namely, providing assistance with disability accommodation processes at the workplace for employees Administration of employee benefits plans concerning insurance and healthcare; Providing information and assistance relating to health and disability insurance plans and employee benefits for group healthcare and insurance
36 - Financial, insurance and real estate services
44 - Medical, veterinary, hygienic and cosmetic services; agriculture, horticulture and forestry services
45 - Legal and security services; personal services for individuals.
Goods & Services
FINANCIAL COUNSELING SERVICES FOR DISABILITY CLAIMANTS AND THEIR IMMEDIATE FAMILY MEMBERS PSYCHOLOGICAL COUNSELING SERVICES FOR DISABILITY CLAIMANTS AND THEIR IMMEDIATE FAMILY MEMBERS LEGAL COUNSELING SERVICES FOR DISABILITY CLAIMANTS AND THEIR IMMEDIATE FAMILY MEMBERS
According to some embodiments, data may be received indicative of a plurality of insurance claims along with an indication of an appropriate claim segment classification for each insurance claim. A first claim handler may then be automatically selected for a first insurance claim based at least in part on: (i) a first segment classification associated with the first insurance claim, (ii) numbers of other insurance claims currently assigned to claim handlers, and (iii) load factors associated with claim handlers. An indication of the selected first claim handler may then be transmitted.
A system and method for processing and administering insurance policy premium discounts for mobile device disabling technology to promote safer driver is disclosed. An insurance policy premium discount is determined based on the level of disabling technology implemented by a user on a user's mobile device.
A system may include a directory-based identity-related services component that authenticates and authorizes enterprise users and computers in a network and enforces security policies. A business intelligence, application development, and application connectivity component may implement business workflow products and exchange application authentication data with the directory-based identity-related services component. A database storage component may provide document management and storage of dashboard tables and lists associated with inventory data received from the business intelligence, application development, and application connectivity component. A cloud-based storage and data management engine may exchange secure authentication storage data with the business intelligence, application development, and application connectivity component. At least one governance or user application may then automatically determine enterprise site inventory information, and, responsive to the determined enterprise site inventory information, automatically determine enterprise site membership information. The dashboard tables and lists may be exchanged in support of a graphical user display.
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.
G06Q 40/00 - FinanceInsuranceTax strategiesProcessing of corporate or income taxes
G06F 16/2458 - Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
G06Q 10/0637 - Strategic management or analysis, e.g. setting a goal or target of an organisationPlanning actions based on goalsAnalysis or evaluation of effectiveness of goals
G06Q 10/1057 - Benefits or employee welfare, e.g. insurance, holiday or retirement packages
A back-end application computer server may receive a request along with a descriptive term. A look-up process may be performed based on the descriptive term (and hidden terms) may establish a set of potential pre-determined descriptions. The user may select one of the potential descriptions, and a user identifier may be associated with the request. A series of dynamic information exchanges may then help assign a category to the user identifier. A partial set of initial request details may be received from a third-party device and the user may adjust and/or add details to create a complete set. A potential value may then be calculated for the request. An indication of the potential value may be transmitted to the user, and information about the user identifier may be transmitted to a user response terminal to facilitate communication between the user response terminal and the user.
A system to provide an automated data driven risk relationship review tool via a 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 automatically calculate a first and second review date for the selected requested resource allocation and automatically establish, between at least two parties, a communication link based on the calculation of the first review date for 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 in connection with the second review date.
G06Q 10/0635 - Risk analysis of enterprise or organisation activities
G06Q 10/0637 - Strategic management or analysis, e.g. setting a goal or target of an organisationPlanning actions based on goalsAnalysis or evaluation of effectiveness of goals
According to some embodiments, a selection server is in communication with a potential communication device database and a currently participating device database, the potential communication device database storing information about communication devices associated with a transition from a first state to a second state, including at least one communication address associated with each communication device. The selection server may automatically identify a communication device as meeting a pre-determined criteria and copy information about the identified communication device from the potential communication device database to the currently participating device database. A scheduling server may automatically schedule a series of communication events between a monitoring device and the identified communication device and arrange for a communication link to be established for each of the scheduled series of communication events until a transition from the second state back to the first state is detected for the identified communication device.
G06F 16/27 - Replication, distribution or synchronisation of data between databases or within a distributed database systemDistributed database system architectures therefor
H04L 67/10 - Protocols in which an application is distributed across nodes in the network
90.
PROCESSING SYSTEM TO FACILITATE MULTI-REGION RISK RELATIONSHIPS
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.
System and methods may facilitate user guidance to risk relationship documents for an enterprise. A risk relationship document data store may contain a set of electronic data records, each electronic data record being associated with a risk relationship document and including a document identifier and a set of document metadata values. A document navigation computer may receive information from a user associated with the enterprise, and, based on the information received from the user and document metadata values, dynamically create a sub-set of the documents in the risk relationship data document data store. An interactive user interface display computer may provide indications associated with the documents in the dynamically created sub-set to the user via an interactive user interface and receive a selected document of the dynamically created sub-set. The user interface display computer may then, responsive to the selection, deliver the selected document to a remote user device.
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).
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.
A resource allocation request coordination framework may include a resource allocation request data store that contains electronic records for a set of resource allocation requests associated with risk relationships between an enterprise and an entity. Based on resource allocation request parameters retrieved from the resource allocation request data store, a back-end application computer server may automatically update information in a supplemental resource allocation request data repository (storing supplemental resource allocation requests from parties associated with the entity). The back-end application computer server may then apply analytics to the information in the resource allocation request data store and the supplemental resource allocation request data repository to generate a recommendation. The back-end application computer server may also facilitate an exchange of data with a remote administrator device to support an interactive graphical dashboard display, including the recommendation, via a distributed communication network.
Embodiments may monitor operation of a machine and provide feedback to maintain use within certain parameters. Mobile personal communication device sensors are each configured to monitor at least one machine parameter (speed, acceleration, location, etc.), generate a signal encapsulating the monitored machine parameter, and transmit the generated sensor signals to a control unit of the communication device. The control unit may receive the generated sensor signals, store the received signals, and selectively combine the received signals. The communication device also includes a transmitter coupled to the control unit capable of transmitting the combined signal. A transceiver remote from the machine may determine a current machine condition and compare that condition to received conditions from other machines. Feedback may then be provided to adjust operation of the machine based on the comparison. For example, an operator interface may provide audio and/or visual feedback to the operator of a vehicle.
In some embodiments, an input document is received at a tagging platform, via a communication device, and associates it with a tag request. The tagging platform automatically selects at least one electronic record associated with a first user from a user data store containing electronic records associated with users (each record including at least a user identifier and a user communication address). The input document and tag request are transmitted to the communication address associated with the first user, and a document tag is received from the first user. The tagging platform may then store the document tag in a document mining result database by adding an entry to the database identifying the received document tag and transmit an indication associated with the document mining result database to a plurality of risk applications.
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.
According to some embodiments, a communication device database may store information about a plurality of communication devices, including at least one communication address associated with each communication device, wherein each communication device is associated with a resource unit. Moreover, a network based segmentation server may access information in a resource status database, automatically assign each resource unit to a resource segment based on at least one pre-determined algorithm and information in the resource status database, and transmit information about the resource segments. A scheduling server, coupled to the segmentation server, may receive the information about the resource segments from the segmentation server, automatically schedule a series of communication events with communication devices in accordance with the resource segments, using the communication addresses, via the distributed communication network, and arrange for communication links to be established for resource units in accordance with the scheduled series of communication events.
G06Q 10/06 - Resources, workflows, human or project managementEnterprise or organisation planningEnterprise or organisation modelling
G06Q 10/0631 - Resource planning, allocation, distributing or scheduling for enterprises or organisations
H04L 67/1097 - Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
H04L 67/60 - Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
99.
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.
A cloud migration framework may include an enterprise application data store that contains electronic records associated with enterprise applications. Each record may include, for example, an electronic record identifier and enterprise application parameters. A data repository stores a catalogue of cloud computing patterns. A back-end application computer server retrieves information from the enterprise application data store and, based on enterprise application parameters, creates a move group representing a subset of the enterprise applications. For each application in the move group, the computer server identifies whether an appropriate cloud computing pattern exists in the catalogue. If an appropriate cloud computing pattern is identified, it is used to automatically create a reference implementation of the enterprise application in a cloud computing environment. If no appropriate cloud computing pattern is identified, a pattern on-boarding process may be initiated to add a new cloud computing pattern to the catalogue.
