Abstract: A heuristic engine includes capabilities to collect an unstructured data set and a current business context to calculate a credit worthiness score. Providing a heuristic algorithm, executing within the engine, with the data set and the context may allow determination of predicted future contexts and recommend subsequent actions, such as assessing a credit risk of a customer transaction and reducing the risk of customer transactions by processing the available data. Such heuristic algorithms may learn from past data transactions and appropriate correlations with events and available data.

Abstract: Provided is a process of inferring insurability scores, the process including: receiving a request for an insurance comparison webpage; sending instructions to present one or more webpages of a web site having a plurality of user inputs configured to receive a plurality of attributes of the user; receiving the attributes; determining an insurability score with an insurability model based on the received attributes of the user; and sending instructions to display a value indicative of the insurability score.

Abstract: According to some embodiments, data is received indicative of a plurality of insurance claims. It may then be automatically determined that a first insurance claim is associated with a first type of insurance and that a second insurance claim is associated with a second type of insurance. The received data associated with the first insurance claim may be analyzed in accordance with first segmentation logic to determine a first segment classification appropriate for the first insurance claim. Similarly, the received data associated with the second insurance claim may be automatically analyzed in accordance with second segmentation logic to determine a second segment classification appropriate for the second insurance claim. Indications of the first and second segment classifications may then be transmitted (e.g., to a load balancing and assignment engine that automatically selects claim handlers for insurance claims).

Abstract: An example method for facilitating a home mortgage includes: normalizing a plurality of loan products into a consolidated loan product; originating the consolidated loan product for a home purchaser; after origination of the consolidated loan product, determining a best fit for the consolidated loan product from among the plurality of loan products; and transferring the consolidated loan product to an entity associated with the best fit from the plurality of loan products.

Abstract: A personalized insurance (“PI”) computing device for determining an optimal insurance product for a driver operating a vehicle for a transportation network company (“TNC”) during a period of increased demand includes at least one processor in communication with at least one memory. The processor is configured to: (i) receive, from a TNC, data indicating increased demand for transportation services, (ii) retrieve driver data that includes the driver history, (iii) generate an optimal pricing model for the driver based upon the increased demand and the driver data, (iv) execute the model to determine an optimal insurance product having characteristics reflecting at least one risk factor associated with the increased demand for transportation services and a risk profile determined from analyzing the driver data, and (v) transmit an offer to the driver to provide transportation services at an increased earnings rate and with the determined optimal insurance product.

Abstract: A donation facilitation system that can allow a donor, such as a customer, to challenge another entity, such as a provider, to make a provider contribution to a portfolio of charities set up by the donor upon, for example, the purchase of a good or service from the provider. The provided portfolio donation facilitation system can allow the other entity such as a provider to create its own provider portfolio of charities and make a provider contribution to a customer's portfolio of charities when at least one component of the provider's portfolio of charities matches at least one component of the customer's portfolio of charities.

Abstract: A method, computer device, and security detail (SD) communication device enables real-time tracking and security of shipments. The method includes receiving a plurality of location signals indicating a location of multiple geographically co-located shipment-related entities that are being tracked as a shipment group. The shipment group includes an assigned security detail that has a corresponding location signal. The method includes presenting the shipment group as a plurality of co-located visual representations on a shipment tracking user interface (STUI) of the computing device, where each location signal is represented among the co-located visual representations. The method includes monitoring for any unscheduled deviations in at least one of an expected co-location and an expected geo-location of received updates to the location signals within the shipment group.

Abstract: A computer system and method for processing insurance claim data to identify and recommend insurance policy modifications using informatic data from one or more informatic sensor devices relating to a dwelling. Analytical analysis is performed on the received informatic data to determine a dwelling assessment value regarding an insurance risk relating to the dwelling. Electronic data relating to an insurance policy associated with the dwelling is received by a computer processor and is electronically analyzed to determine insurance coverage and liability values for the dwelling as prescribed by the insurance policy. Predefined business rules are utilized by a computer processor using at least the dwelling assessment value and the determined insurance coverage and liability values for the dwelling to determine, and preferably recommend, one or more insurance products for inclusion with the insurance policy to mitigate insuree liability regarding the dwelling.

Abstract: Systems and methods for digital property collateral protection are disclosed. For example, a pre-underwriting analysis may be performed to ascertain the quality of a given borrower and the intellectual property associated with the borrower. If the borrower passes the pre-underwriting analysis, an underwriting analysis including an intellectual property valuation may be performed. If the borrower passes the underwriting analysis and the terms of a loan and insurance policy are otherwise agreed upon, a lender may issue a loan to the borrower with the intellectual property as collateral, and an insurer may issue an insurance policy to the lender to insure against covered events.

Abstract: After sending a request to a payment module, via a first communication capability (e.g., BLE), to initiate a transaction with a payment accepting unit associated with the payment module, a mobile device with one or more processors, memory, one or output devices, and two or more communication capabilities obtains a notification from the payment module via the first communication capability. The notification indicates an event at the payment accepting unit associated with the payment module. In response to obtaining the notification, mobile device provides a representation of the notification to a user of the mobile device via the one or more output devices of the mobile device. For example, a message is displayed on a display of the mobile device, a vibration alert is produced by a vibration mechanism of the mobile device, an aural alert is produced by a speaker of the mobile device, and/or the like.

Abstract: An automated computer-implemented insurance tracking process comprising allowing an insured to select insurance-related information that can be shared with a particular requestor, automatically saving the selected insurance-related information in a computer memory, and automatically providing, to the particular requestor, digital access to the saved information.

Abstract: A computer system includes a memory configured to store instructions and a processor in communication with the memory. The processor upon execution of the instructions effectuates operations configured to prompt a user to select, via a graphical user interface, at least one selected component of a vehicle and provide a plurality of component types compatible with the selected component, the plurality of component types including a custom component type. The operations are further configured to prompt the user to select a custom component type from the plurality of component types for the selected component, generate a customized image including the custom component type based on an initial image and the custom component type, provide the customized image to a user, determine a premium associated with an insurance policy covering the vehicle, wherein the premium is based on the custom component type, and provide the premium to the user.

Abstract: A system and method for multimodal contribution and management of multi-domainal reference data is disclosed. A processor executes an application that utilizes distribution and lookup services on an authoritative data cache to confirm that a reference data record or attribute does not exist and creates a message compliant with a standardized information message (SIM) format; and inspects the contents of the SIM to determine the domain of the data and transmits the message to a corresponding domainal reference data system of record among a plurality of reference data systems within a federated reference data system. A receiving domain system acts as a system of record to one or more reference data domain classes related to the reference data; and initiates the processes of storing, versioning, and publication of the reference data for the domain of reference data for which the reference data system is being designated a system of record.

Abstract: There is a need for more effective and efficient anomaly detection. This need can be addressed by, for example, solutions for performing/executing graph convolutional anomaly detection. In one example, a method includes identifying related graph database input data associated with a predictive entity; generating related graph feature data for the predictive entity; generating, based on the related graph feature data and using a graph convolutional neural network model, an anomaly detection score for the predictive entity, wherein at least a portion of the graph convolutional neural network model is trained using confirmation feedback data; performing an anomaly confirmation to generate the confirmation feedback data object for the predictive entity, and integrating the confirmation feedback data object for the predictive entity into the confirmation feedback data associated with the graph convolutional anomaly detection.

Abstract: Systems and methods to establish and execute market-driven variable price offerings among the lenders and borrowers in a bandwidth-sharing ad hoc network for shared bandwidth usage. The method comprises establishing and executing market-driven variable price offerings among lenders and borrowers. A bandwidth-sharing ad hoc network for shared bandwidth usage is formed based on the established and executed market-driven variable price offering.

Abstract: A query processing server for providing scalable architectures in repricing is provided. The query processing server includes a gateway platform for processing communications and a repricing engine. The query processing server processor is configured to receive a repricing request from a frontend server. The query processing server processor is also configured to define a set of repricing periods. The query processing server processor is further configured to transmit a creation instruction to the repricing database server to create a repricing status database and queue. The query processing server processor is also configured to determine a set of claims data queries for execution based on the set of scenario data and to query the repricing database server with the set of claims data queries. The query processing server processor is configured to perform a repricing analysis using the set of claims data responses and the set of repricing periods.

Abstract: An insurance system for home sharing may comprise a mobile device of a homeowner, one or more databases storing insurance factor data, a plurality of sensors configured to monitor one or more home features, and a server comprising one or more processors and memory. The server may be configured to receive, from the mobile device, data indicating that the homeowner is renting out a home, determine a value for frequency of rentals for the home based on the data indicating that the homeowner is renting out the home, and receive, from the plurality of sensors, monitored data for the one or more home features. The server may compute an insurance premium for the homeowner based on the value for frequency of rentals for the home, the monitored data for the one or more home features, and the insurance factor data and transmit the insurance premium to the mobile device.

Abstract: Systems and methods receive vehicle operating information from an onboard vehicle system, wherein the vehicle operating information includes data indicative of a first amount of time an operator is in active control of the vehicle to the system during a period, and wherein the vehicle operating information includes data indicative of a second amount of time that the vehicle operates autonomously during the period. The systems and methods thereafter calculate an insurance rate for a subsequent period based on both the first amount of time the vehicle operator is in active control of the vehicle and the second amount of time the vehicle is operated autonomously.

Abstract: A trans-boundary water resource usage detection method, system, and computer program product, including predicting an estimated water usage by an upstream administrative region using a machine learning model and a tracked water usage, detecting an excess water usage when the estimated water usage exceeds a contracted usage value by more than a threshold value by executing a smart contract on blockchain, and penalizing, via a token exchange in blockchain, the upstream administrative region for the excess water usage by executing the smart contract on blockchain.

Abstract: A mobile device presents representations of payment accepting unit events on a display, by identifying a payment accepting unit that is available to accept payment from a mobile payment application executing on the mobile device, displaying a visual indication of the payment accepting unit and accepting user input to receive selection of the payment accepting unit and trigger payment, establishing a wireless communication path including the mobile device and the payment accepting unit, enabling user interaction with the user interface to complete the transaction, exchanging information with the available payment accepting unit via the one or more radio transceivers in conjunction with the transaction, and displaying an updated user interface of the mobile payment application.