Abstract: 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.

Abstract: A system includes an intermediate mortgage integration platform as a service (MiPaas). Specifically, an MiPaas layer may facilitate integration between a loan origination system (LOS) and supporting services. The MiPaas layer may provide integration flexibility by enabling integration of the supporting services with each other and with different LOSs. Indeed, a number of MiPaas integration formats (e.g. REST API, OpenAPI, GRPC, GraphQL, Industry Standard interface, etc. may be provided to facilitate ease of integration between the LOS and the supporting services. Further, the MiPaas may provide processing efficiencies by adapting workflows based upon particular retrieved data. In this manner, efficient processing may be performed in an intermediate data processing layer, resulting in more efficient turnaround times and reduced processing requirements at traditionally over-burdened systems.

Abstract: Disclosed are systems, methods, apparatuses, and computer readable media for quickly and efficiently providing individual-level scores that are serve as more-accurate predictions of a target event. These predictions are made using a model that factors specific variables based on transaction attributes gathered from transaction data for the individual, which may be exclusive to certain entities. These individual-level scores can be updated and periodically uploaded to an entity (e.g., a reporting agency) that can utilize existing infrastructure to quickly provide these scores to any requesters.

Abstract: A real-time electronic bill presentment and payment system of a bill presentment and payment system (BPPS) provider is exposed to at least one of a business financial institution and an accounting software provider via an API. The BPP provider facilitates the institution or software provider providing a real-time electronic bill presentment and payment mobile application to a business. The BPPS obtains, via the API, from the institution or software provider, registration information relevant to the business. The real-time system populates a biller directory database with the registration information. No action, other than the facilitating, is required by the BPPS provider for the institution or software provider to obtain the registration information. In some instances, provision is made for loss of connectivity between the institution or software provider and the business and/or for alerts to the business.

Abstract: Systems, methods, and program products of performing a deposit transaction in which allocations to depository accounts are made in accordance with customer selection of maximum interest coverage or maximum interest rate. Maximum balances associated with maximum interest customers and maximum insurance customers are taken into account at each depository institution to determine an optimal allocation that meets customer's preferences without exceeding the maximum balances.

Abstract: A system and method are described herein for providing an internet connected computer system for improved business to business lending experience, including an enhanced customer experience; privacy and security; product flexibility; and while minimizing merchant risk. Through the use of a simplified underwriting architecture, and a minimalistic or light weight user interface, the system improves the quality of the lending experience while reducing merchant risk and allowing product flexibility. The system further describes a secure environment, providing additional advantages over traditional methods of business to business underwriting by capturing and verifying user identity and likelihood that a user will pay the charges incurred. Biometric indicia such as facial or retina recognition, passwords, voiceprints or finger prints may be employed alongside geolocation services to insure consumer identification.

Abstract: Technologies are described herein for providing an internet-connected computer system for improved business-to-business lending experience. Through the use of a simplified underwriting architecture, and a minimalistic user interface, the system improves the quality of the lending experience while reducing merchant risk and allowing product flexibility. The system further describes a secure environment, providing additional advantages over traditional methods of business-to-business underwriting.

Abstract: A Monte Carlo simulation is disclosed to propagate model estimate and macroeconomic uncertainties through the calculation of lifetime loss or yield and their uncertainties using a classical computer or a quantum for the purposes of adjusting loan pricing for the uncertainty in the yield.

Abstract: Provided is a control method including: receiving, from first power equipment, first transaction data including, for example, transmitted power amount information indicating the amount of power transmitted to power accumulation equipment; obtaining, from the power accumulation equipment, received power information including, for example, received power amount information indicating the amount of power received from the first power equipment; verifying the first transaction data by referring to the received power information; executing a first consensus algorithm with second servers when the first transaction data is verified successfully; and recording a block including the first transaction data in a distributed ledger of a first server when the validity of the first transaction data is verified through the first consensus algorithm.

Abstract: A system and method for automatically detecting if a home alarm system is being used and/or actively monitored are disclosed. The system and method use data gathered from one or more sensors, including audio information from microphones. The audio information is analyzed using a machine learning system to determine if the alarm system is being regularly used and monitored. The system and method can also automatically update a policy holder's insurance policy to reflect whether or not an alarm system is being used.

Abstract: An asset management system is disclosed where a plurality of financial databases may connect with and be in communication with an asset management tool. The asset management tool is able to create an individual spending plan (scheduled distributions) and matching fixed income investment portfolio for a user based on inputted parameters with automatic distributions from the portfolio consistent with the individual spending plan occurring with a high degree of certainty. The asset management tool may communicate with the plurality of financial databases to put the individual spending plan and matching portfolio into action and is able to calculate and communicate an optimized surplus investment as a means of self-insuring so that the predefined schedule of distributions is met with the effective certainty one would expect from an insured/guaranteed income product.

Abstract: The systems and methods described herein allow users to control access to regulated data of the user (stored in a secured third party database) through interaction on a mobile device (or other computing device), such as to provide a touch gesture on the mobile device that causes the users regulated data to be accessible to a third party. The regulated data may include credit data of the user, such as a credit report or credit file. Access rights to the regulated data may be provided in real-time (or near real-time) in response to a request for the data from a third party, for example. The system may allow a user to respond to an alert or notification that is automatically sent to the computing device of the user in response to a request for a secure regulated data of the user.

Abstract: A platform and process for electronic payment processing using electronic communications from different communication channels or bands. The system and process can generate alerts using fraud detection and verify payment requests using historical data and pattern recognition. The system and process can categorize images and extract payment data.

Abstract: A process orchestration and dynamic data acquisition system may allow process flows to be flexible and to customer or product requirements based on rules obtained from a rule management system. The process orchestrator may be driven based on an updatable and dynamic set of business rules to allow for quick changes to the process flow. Through the business rules the process orchestrator retrieves and processes data necessary to the process based on a customer request and/or product or service provided. The process orchestrator provides dynamic data aggregation from both internal and external data sources, through calling re-useable processes instantiated by the process host system and continuously adapts the process flow to meet the unique needs of each request input and results returned from each dynamic process call.

Abstract: A system, including: a non-transitory memory; and one or more hardware processors coupled to the non-transitory memory and configured to read instructions from the non-transitory memory to cause the system to perform operations including: determining a first physical location of a user; comparing the first physical location to data indicative of network availability; and in response to comparing the first physical location to data indicative of network availability, generating a first electronic token and a second electronic token for a mobile computing device associated with the user.

Abstract: A method implemented on an augmented reality (AR) device includes accessing a user's investment strategy and selecting a material object. The material object and investment controls are displayed on a display screen of the AR device. The user alters the investment strategy using the investment controls. Alternative replacement objects are generated based on changes that the user makes to his or her investment strategy. One or more replacement objects are projected onto the display to represent an alternative material object that the user can afford based on the changed investment strategy.

Abstract: A limited use temporary credit account is disclosed. The method includes displaying, on a display of a mobile device, a temporary credit account, the temporary credit account correlated with a newly approved non-integrated credit account, the temporary credit account including: a temporary account number; a temporary expiration date; and a temporary security code. Incorporating a time constraint into the temporary credit account displayed on the mobile device, the time constraint limiting an amount of time the temporary credit account is displayed on the mobile device and limiting an amount of time the temporary credit account is available for making a purchase. Integrating a credit limit reduction into the temporary credit account displayed on the mobile device, the credit limit reduction reducing an available credit on the temporary credit account to an amount less than a credit available on the newly approved non-integrated credit account.

Abstract: Systems and methods for determining a product investment decision and risk assessment are provided in which a plurality of data is obtained in electronic form. Based on a subset of this data, a taxonomy of data is formed using a plurality of classification models. The taxonomy includes a plurality of classifications determined by the classification models. At least one classification includes a corresponding plurality of input variables in a plurality of variables. Based on the forming, a respective output is determined in accordance with a selection of a set of variables. The respective output is evaluated against a plurality of threshold criteria. If the respective output satisfies each threshold criterion is determined. Based on this determining, a product investment decision and risk assessment for the candidate subject is determined in accordance with the satisfaction of each threshold criterion.

Abstract: Examples described herein include systems, methods, instructions, and other implementations for data security with integrated installment payment systems. In one example, account security system receives a checkout communication that includes data describing a validated checkout system of a merchant system. A client token is transmitted in response to an authentication that the checkout communication is from the validated checkout system, and an account communication including the client token and secure client information is received from a client device. An installment payment communication associated with the secure transaction is received from a system other than a merchant system involved in the transaction. The secure transaction is then facilitated following receipt of the installment payment communication.

Abstract: Provided is a control method including: receiving, from first power equipment, first transaction data including, for example, transmitted power amount information indicating the amount of power transmitted to power accumulation equipment; obtaining, from the power accumulation equipment, received power information including, for example, received power amount information indicating the amount of power received from the first power equipment; verifying the first transaction data by referring to the received power information; executing a first consensus algorithm with second servers when the first transaction data is verified successfully; and recording a block including the first transaction data in a distributed ledger of a first server when the validity of the first transaction data is verified through the first consensus algorithm.