Abstract: Example embodiments of systems and methods for data transmission system between transmitting and receiving devices are provided. In an embodiment, each of the transmitting and receiving devices can contain a master key. The transmitting device can generate a diversified key using the master key, protect a counter value and encrypt data prior to transmitting to the receiving device, which can generate the diversified key based on the master key and can decrypt the data and validate the protected counter value using the diversified key.

Abstract: Example embodiments of systems and methods for data transmission system between transmitting and receiving devices are provided. In an embodiment, each of the transmitting and receiving devices can contain a master key. The transmitting device can generate a diversified key using the master key, protect a counter value and encrypt data prior to transmitting to the receiving device, which can generate the diversified key based on the master key and can decrypt the data and validate the protected counter value using the diversified key.

Abstract: In a method of controlling account user access to transaction information for a joint account, a set of control criteria is stored in a control database. Information for a new transaction is received and stored in a transaction information database. An information limitation request to prevent access to the transaction information by a second account user for a withholding time interval is received from a first account user. An access limitation record including identification of the second account user and the withholding time interval is stored in the information control database. Upon receiving from a second account user a request for account information including the transaction information, a determination may be made as to whether the transaction information should be withheld from the second account user. Responsive to a determination that the transaction information should be withheld, a response excluding the transaction information is transmitted to the second user device.

Abstract: Various embodiments are generally directed to techniques to enable use of a transaction card of a user device to perform transactions. Embodiments may include method, techniques, and circuitry to cause a transaction card to extend from a user device to be used to perform the transactions. Further, the transaction card may retract into the housing the user device when not in use.

Abstract: Various embodiments are generally directed to method and devices to receive biometric data and transaction data relating to a transaction, apply a model to the biometric data and the transaction data to determine an emotional state of the user during the transaction, and determine an action associated for the transaction based on the emotional state of the user during the performance of the transaction. Embodiments further include causing performance of the action.

Abstract: A device may receive audio data based on a capturing of sounds associated with a structure. The device may obtain a model associated with the structure. The model may have been trained to receive the audio data as input, determine a score that identifies a likelihood that a sound is present in the audio data, and identify the sound based on the score. The device may determine at least one parameter associated with the sound. The device may generate a metric based on the at least one parameter associated with the sound, and perform an action based on the metric.

Abstract: A system includes one or more memory devices storing instructions, and one or more processors configured to execute the instructions to perform steps of a method providing biometric detection of coercion of a user. The system may detect a trigger event associated with a potential transfer of funds and may receive user biometric data. The system may determine, based on stored user biometric data and the detected user biometric data, a confidence level that the stored user biometric data is indicative of biological information representative of a user being in a stressed state. The system may initiate one or more precautionary safety measures.

Abstract: Disclosed embodiments may relate to crowdsourcing updated information based on raw transaction data. A set of candidate merchant data that matches raw merchant data associated with a customer's purchase transaction may be inferred using a machine learning model. The merchant data may comprise merchant name, postal code, state, city, or merchant category code. An electronic purchase alert may be generated that requests the customer to identify merchant data from the candidate merchant data associated with the purchase transaction. The electronic purchase alert may be transmitted to a customer within a predetermined time after the transaction. The purchase alert is accessible to the customer through a computing device. Further, the machine learning model may be retrained after a predetermined time with the raw merchant data and identified merchant data associated with the transaction and additional transactions.

Abstract: A platform receives transaction information for an entity, where the transaction information identifies a plurality of transactions associated with the entity, and receives entity information associated with the entity. The platform identifies, using a first model, a selected set of transactions based on the transaction information and the entity information, where the first model outputs information identifying the selected set of transactions based on the selected set of transactions being associated with an event, a theme, or a transaction parameter. The platform determines, using a second model, potential modifications to a document based on the selected set of transactions, where the second model receives the information identifying the selected set of transactions or information identifying the event, the theme, or the transaction parameter, and where the second model outputs information identifying the potential modifications.

Abstract: A computing resource of a cloud computing environment receives, from customers in a customer population, requests to enroll in group-based subscriptions provided by third-party providers. The requests include customer preferences associated with the customers. The computing resource determines customer account attributes for customer accounts, and determines, using a customer matching model, scores for the customers based on the customer preferences and the customer account attributes. The scores predict a successful matching among the customers in the customer population. The computing resource assigns a first subset of the customers in the customer population to a first group of customers based on the scores, enrolls the first group of customers in a first account for a first group-based subscription provided by a first third-party provider, and allocates a payment for the first group-based subscription among a first group of customer accounts associated with customers in the first group of customers.

Abstract: Systems and methods for artificial intelligence (AI)-based systems and methods for conditional electronic processing are provided. An example method includes receiving real time data from one or more data sources associated with one or more connected smart devices; continuously evaluating the real time data to determine whether the one or more transaction conditions is met; upon determining that the one or more transaction conditions has been met, utilizing prioritized parameters to determine to which users an alert of a transaction request is broadcast; broadcasting the alert of the transaction request via a user application; transmitting, via a push notification gateway, a push notification to the user application on a user device; and establishing, via a network, a secure connection between the user device and an AI engine for executing the transaction request.

Abstract: Embodiments disclosed herein generally related to a system and method of authenticating a user with a third party server. In one embodiment, a method is disclosed herein. A computing system receives, from a remote client device of the user, a token. The token includes personal identification information and a digitized file of a biometric captured by a biometric scanner. The computing system identifies via the personal identification information that the user has a user account. The computing system queries a database with the personal identification information and the digitized file to determine whether the biometric matches a stored biometric in the user account. Upon determining that the biometric matches the stored biometric, the computing system generates a message to be transmitted to the third party server that authenticates the user. The computing system transmits the message to the third party server.

Abstract: A system includes one or more memory devices storing instructions, and one or more processors configured to execute the instructions to perform steps of a method providing biometric detection of coercion of a user. The system may detect a trigger event associated with a potential transfer of funds and may receive user biometric data. The system may determine, based on stored user biometric data and the detected user biometric data, a confidence level that the stored user biometric data is indicative of biological information representative of a user being in a stressed state. The system may initiate one or more precautionary safety measures.

Abstract: In some implementations, an identity verification device may receive a request to verify an identity associated with a user accessing a social media account to share information on a social media platform. The identity verification device may generate, based on the request, a virtual credential linked to a primary credential associated with a financial account belonging to a holder of the social media account. The virtual credential may be used in an identity verification transaction to prove that the user accessing the social media account has access to the financial account associated with the social media account holder. The identity verification device may store a record indicating that the virtual credential was used to conduct the identity verification transaction and may provide, to the social media platform, information to verify the identity associated with the user accessing the social media account based on the record.

Abstract: Systems and methods for artificial intelligence (AI)-based systems and methods for conditional electronic processing are provided. An example method includes receiving real time data from one or more data sources associated with one or more connected smart devices; continuously evaluating the real time data to determine whether the one or more transaction conditions is met; upon determining that the one or more transaction conditions has been met, utilizing prioritized parameters to determine to which users an alert of a transaction request is broadcast; broadcasting the alert of the transaction request via a user application; transmitting, via a push notification gateway, a push notification to the user application on a user device; and establishing, via a network, a secure connection between the user device and an AI engine for executing the transaction request.

Abstract: Various embodiments are directed to a system for automatically and dynamically facilitating various transactions via a hyperlocal marketplace. A smart home system, for example, may track all perishable items within the home. Any items expected to have a surplus may be offered for sale to other homes in the hyperlocal marketplace. Any items expected to have a shortage may be identified and made known to the other homes in the hyperlocal marketplace. Bids may be made on the shortage items that may be offered for sale by the marketplace.

Abstract: A platform receives transaction information for an entity, where the transaction information identifies a plurality of transactions associated with the entity, and receives entity information associated with the entity. The platform identifies, using a first model, a selected set of transactions based on the transaction information and the entity information, where the first model outputs information identifying the selected set of transactions based on the selected set of transactions being associated with an event, a theme, or a transaction parameter. The platform determines, using a second model, potential modifications to a document based on the selected set of transactions, where the second model receives the information identifying the selected set of transactions or information identifying the event, the theme, or the transaction parameter, and where the second model outputs information identifying the potential modifications.

Abstract: Example embodiments of systems and methods for data transmission system between transmitting and receiving devices are provided. In an embodiment, each of the transmitting and receiving devices can contain a master key. The transmitting device can generate a diversified key using the master key, protect a counter value and encrypt data prior to transmitting to the receiving device, which can generate the diversified key based on the master key and can decrypt the data and validate the protected counter value using the diversified key.

Abstract: Example embodiments of systems and methods for data transmission system between transmitting and receiving devices are provided. In an embodiment, each of the transmitting and receiving devices can contain a master key. The transmitting device can generate a diversified key using the master key, protect a counter value and encrypt data prior to transmitting to the receiving device, which can generate the diversified key based on the master key and can decrypt the data and validate the protected counter value using the diversified key.

Abstract: Example embodiments of systems and methods for data transmission system between transmitting and receiving devices are provided. In an embodiment, each of the transmitting and receiving devices can contain a master key. The transmitting device can generate a diversified key using the master key, protect a counter value and encrypt data prior to transmitting to the receiving device, which can generate the diversified key based on the master key and can decrypt the data and validate the protected counter value using the diversified key.