Abstract: The SECURE MULTI-SERVER STABILIZED DATA PACKET EXCHANGE SYSTEMS (IRFI) provide efficient, secure data communication for data communication and exchange servers. The IRFI provides increased data exchange system security and efficiency for time-rate based data package communicators. The IRFI can use artificial neural networks that include three or more layers, with at least one input layer, a hidden layer and an output layer. The IRFI can obtain listing data relating to a data package, obtain characteristic parameters associated with the data package, determine a BP metric for the data package, calculate an exposure offset value based on the BP metric for the data package, receive evaluation data from an data packet exchange system, including a SY metric and a DV metric, calculate a delivery metric for the data package based on the evaluation data, and facilitate a communication of the delivery metric.

Abstract: A method and apparatus for implementing a combined investment. Financing is obtaining by collateralizing a first investment representing ownership interests of a plurality of independent investors. The financing is used to acquire a second investment. At least a portion of any returns on the second investment is applied to the benefit of the independent investors. In this manner, investors effectively get the benefit of two investments for the cost of one. By differentiating the asset classes of the two investments, greater diversification is provided. Through pooling of investor capital and/or fractional share ownership, even greater diversification and better investment opportunities may be achieved. By selecting complementary investments, e.g. growth oriented securities and income-producing real estate, a beneficial synergistic effect may be obtained when the investments are cooperatively managed, e.g. by cross-utilizing returns, with a common objective of providing enhanced returns.

Abstract: Provided is a computer-implemented method for remotely authorizing a transaction. The method includes receiving a transaction request including at least one user identifier, determining an authorizing user of a plurality of authorizing users based at least partially on the at least one user identifier, determining whether the authorizing user is online, communicating, to a user device associated with the at least one authorizing user, an authorization request message, wherein, if the authorizing user is online, the authorization request message includes a mobile device message configured to prompt the authorizing user to provide an approval of the transaction request, and wherein, if the authorizing user is offline, the authorization request message includes an automated telephone call configured to audibly prompt the authorizing user to provide an approval of the transaction request, and completing the transaction in response to receiving an approval of the transaction request from the authorizing user.

Abstract: Example embodiments include a method and system for managing intraday risk conditions. Data transaction specific data messages transmitted over a data communications network from a plurality of source nodes trading an article of trade with a plurality of destination nodes are processed. The messages include account parameter information. Intraday risk condition data is associated in memory with entity identification data associated with an entity. Using the entity identification data, account parameter information included in the processed data transaction specific data messages is identified that matches the intraday risk condition data for the entity. In response to an identified match, a data transaction involving the entity submitted via a communication session to a corresponding one of the plurality of destination nodes is modified to reduce intraday risk for the entity associated with the data transaction.

Abstract: A system for generating a cybersecurity profile, wherein a time series data retrieval and storage server retrieves information from a prospective client, and information previously gathered, and stored, from a plurality of sources; a directed computational graph analysis module performs graph analysis on the data from the time series data retrieval and storage server; and an automated planning service module performs predictive simulation analysis on data received from the directed computational graph.

Abstract: Systems and methods for enhanced shopping using a mobile device are disclosed. In one embodiment, a method for enhanced shopping using a mobile device may include (1) a mobile application executed by a mobile electronic device associating with a merchant system, the mobile electronic device comprising at least one computer processor, a memory, an optical input, and a display; (2) the mobile application receiving an item identifier associated with an item; (3) the mobile application receiving item data for the item from the merchant system based on the item identifier; (4) the mobile application receiving purchase confirmation for the item; and (5) the mobile application communicating payment information for the item to the merchant system.

Abstract: Methods, computer-readable media, systems and apparatuses for determining and implementing risk unit usage-based insurance policies. In some arrangements, sensor data associated with vehicle operation data, driving data, and the like, may be received and analyzed to determine a consumption rate of risk units in the risk unit usage-based insurance policy. In some examples, one or more driving behaviors may also be identified (e.g., from the sensor data, historical data, and the like). In some examples, one or more user interfaces may be generated displaying the determined consumption rate and/or driving behaviors. In some arrangements, additional information, such as one or more recommendations for improving (e.g., reducing) consumption rate may be generated and provided via the generated user interface.

Abstract: A system and method for performing a purchase transaction using rewards points by receiving a purchase request using a financial account with associated account information, determining based on the account information that the financial account is associated with a rewards program with rewards points, and providing the option to pay for the purchase using the financial account or at least a portion of the rewards points. The purchase may be paid for using rewards points from multiple rewards programs and/or multiple financial accounts.

Abstract: A dispute scoring computing device for generating chargeback dispute scores is provided. The dispute scoring computing device extracts historical transaction data and account profile data for a plurality of transactions associated with an account, and generates a chargeback dispute prediction model for the account based on the extracted data. The dispute scoring computing device further receives a candidate chargeback for a transaction initiated with a merchant using the account, extracts transaction data from the candidate chargeback, and determines, using the generated chargeback dispute prediction model, a chargeback dispute score indicating a likelihood that the candidate chargeback, if disputed by the merchant, would result favorably for the merchant.

Abstract: At each of a plurality of point of sale terminals (POS) of a merchant for each of a plurality of consumers, where each consumer seeks to conduct a transaction with the merchant for a good or service at a cost by using a payment device issued by an issuer in a payment system, data is read from a payment device. The data can include an identifier for an account issued by an issuer, information is stored for each transaction and the consumer is permitted to receive the good or service from the merchant. After the consumer has received the good or service, a batch of the transaction are processed to derive there from the respective costs that are assessable to the respective accounts, where the merchant can be a transit system, the consumer a rider thereon, end the transaction can be access to a facility thereof.

Abstract: A system configured to determine an insurance premium associated with an account that covers at least one vehicle and at least one driver comprising a computer memory that stores biographical information; a processor that receives information associated with telematics data associated with at least one of the vehicle(s), concerning use of the at least one vehicle(s); the processor further configured to determine discrete segments of use by at least one vehicle(s), and to determine a driver signature associated with each of the discrete segments of use; the processor further configured to generate a driver risk assessment responsive to the at least one of the discrete segments of use; the processor further configured to calculate pricing information based at least in part on the at least one risk assessment and the biographical information; and a transmitter configured to transmit the pricing information to a user device or user transmission device.

Abstract: A client terminal displays a trading screen interface and an annotation interface in relation to the trading screen interface. The annotation interface allows a trader to enter trade-related annotations in a quick and efficient manner or flag a predetermined time and input annotations to be associated with the flagged time a later time, while the trading screen interface allows the trader to make trades at the most favorable prices and in a speedy manner. The annotation interface may alternatively not be displayed and allow for audio input.

Abstract: Methods, systems and computer-readable storage media disclosed herein provide visual depictions of warnings and errors. An example method includes detecting, using a computing device, a change in a design of a trading algorithm. The trading algorithm is defined by a user-specified arrangement of blocks representing trading functionality. The example method includes determining, using the computing device, whether the trading algorithm complies with a trading algorithm rule. The example method includes facilitating, using the computing device, at least one of warning handling or error handling when the trading algorithm does not comply with the trading algorithm rule. Facilitating warning handling or error handling includes displaying a warning or an error to the user in connection with the trading algorithm before the trading algorithm is available for execution.

Abstract: A system may include a telematics device associated with a vehicle having one or more sensors arranged therein, a first computing device associated with a driver of the vehicle, and a driving behaviors analysis server, comprising hardware including a processor and memory. The driving behaviors analysis server may receive, from the one or more sensors and via the telematics device, driving data of the driver of the vehicle and identify one or more driving behaviors of the driver over a predetermined period of time. The driving behaviors analysis server may then determine one or more of the driving behaviors to be indicative of unsafe driving by the driver. Further, based on the determination of unsafe driving behaviors, the driving behaviors analysis server may transmit, to the first computing device, a message on behalf of an insurance provider, recommending the driver to stop or limit driving.

Abstract: A usage frequency attribute is determined for each biometric feature in a biometric feature database. The usage frequency attribute indicates a matching success frequency of matching the biometric feature to a user having the biometric feature. The biometric features of the user are sorted in descending order of the usage frequency attribute. The sorting is based on a descending order of the usage frequency attributes for a given user. The biometric features in the biometric feature database are stored in descending order. The storing includes providing prioritized access to the biometric feature having a highest value of the usage frequency attribute so that the biometric feature is selected first in response to a request for the biometric feature of the user.

Abstract: Reducing an amount of data transactions that are subjected to further review when determining if the data transactions should be approved or rejected. A risk score that defines a first cutoff and a second cutoff are determined. During a first time period, the first and second cutoffs are extended to increase data transactions subject to further review and to create an opportunity group of data transactions not previously approved that are now approved. A rejection rate of the data transactions subject to further review is compared to a threshold. When the rejection rate is no more than the threshold, during a second time period, a volume of the data transactions subject to further review is minimized and a second opportunity group of data transactions not previously approved that are now approved is created. The rejection rate of the data transactions subject to further review are again compared to the threshold.

Abstract: During a device programming technique, a merchant provides account information associated with a smart-card terminal to a portable electronic device (such as a cellular telephone), which is coupled to the smart-card terminal. In response, the portable electronic device provides the account information to a computer remotely located relative to the portable electronic device. Then, the computer provides a merchant identifier and a terminal identifier to the portable electronic device. Next, the portable electronic device provides the merchant identifier and the terminal identifier to the smart-card terminal, thereby facilitating programming of the smart-card terminal.

Abstract: Disclosed are vehicle inspection systems and methods, and more particularly, systems and methods for appraising the damage caused to a vehicle during an accident and in certain embodiments for dispositioning the vehicle from the accident scene. The disclosed appraisal systems can include one or more cameras, scanner and sensors and a computing device. The cameras can be mounted to a recovery vehicle, for example, for taking imagery of the damaged vehicle at an accident scene. The computing device receives the imagery from each camera and/or sensors/scanners and communicates the data and imagery to a remote server for use in a damage assessment.

Abstract: Computer systems for escrowing of selected data of an online tax return preparation application for use in executing models such as predictive models to generate tax return topic rankings, which are provided to the online tax return application and displayed to a user and are personalized in that they reflect or are based on actual tax return data of the user. Escrow system components may operate independently of the online application such that small portions of a very large amount of tax return preparation data can be retrieved (e.g., periodically) from a data store maintained by the online application, and this retrieved data is cached or stored to a different data store and analyzed relative to an escrow contract specifying types of data required to trigger model execution. Upon satisfying escrow contract requirements, a corresponding model is executed, and a topic ranking is generated and provided to the online application.

Abstract: A method for managing funds is provided. The method includes receiving a payment vehicle identifier by which a payment vehicle can be identified, the payment vehicle includes an available account balance, transaction details of a purchase transaction, and the transaction details, sending a first amount that is less than or equal to the transaction value if the transaction value does not exceed the available account balance, and sending a second amount that is less than or equal to the first amount. The transaction details include a transaction value, a merchant identifier of a merchant with whom the purchase transaction is being made, and a merchant wallet identifier by which a merchant virtual wallet can be identified, the merchant virtual wallet being associated with the merchant identifier.