Abstract: Systems and methods of the present disclosure enable intelligent dynamic caching of data by accessing an activity history of historical electronic activity data entries associated with a user account, and utilizing a trained entity relevancy machine learning model to predict a degree of relevance of each entity associated with the historical electronic activity data entries in the activity history based at least in part on model parameters and activity attributes of each electronic activity data entry. A set of relevant entities are determined based at least in part on the degree of relevance of each entity. Pre-cached entities are identified based on pre-cached entity data records cached on the user device, and un-cached relevant entities from the set of relevant entities are identified based on the pre-cached entities. The cache on the user device is updated to cache the un-cached entity data records associated with the un-cached relevant entities.

Abstract: A device may process a message associated with an account to identify a first identifier that identifies a third party. The device may identify a match between the first identifier and transaction information related to an individual associated with the account. The transaction information may include a set of first identifiers that identify a respective set of third parties. The transaction information may facilitate identification of one or more messages that is likely to include account information. The device may tag the message with a second identifier based on the match. The device may receive, from another device, the message based on the message being tagged with the second identifier. The device may process the message to identify the account information related to another account. The device may extract identified account information from the message. The device may perform an action related to extracted account information or the message.

Abstract: Disclosed herein are systems and methods for a system for authorizing proxy number token requests. The system may comprise a memory storing instructions and at least one processor configured to execute instructions to perform operations. These operations may comprise receiving a first request to use a proxy number token to complete a first action associated with a first entity; authorizing the first request; receiving a second request to use the proxy number token to complete a second action associated with a second entity; determining a modifiable relationship data binding associated with the first and second entities, the modifiable relationship data binding comprising multiple parameters; determining that the second request satisfies the parameters; and authorizing the second request based on a determination that the second request satisfies the parameters.

Abstract: Disclosed are systems and methods for developing a web-based application using micro frontends. A web application architecture system may include a plurality of web servers and a plurality of single page applications. Each one of the plurality of single page applications may be hosted on a single respective one of the plurality of web servers. The web application architecture system may further include one or more shared libraries that are accessed by each of the plurality of single page applications. The one or more shared libraries may include shared interface components for each of the plurality of single page applications such that the plurality of single page applications are a part of a single web-based application. Additionally, the web application architecture system may include a load balancer configured to route traffic to each of the plurality of single page applications.

Abstract: Methods and systems of data de-tokenization are described herein to provide solutions to utilizing tokenized data files. A de-tokenization service controller may extract instances of tokenized data by determining a schema associated with a tokenized file, wherein the schema identifies which fields contain tokenized data. A decryption system may decrypt the tokens and send decrypted sensitive values to the de-tokenization service controller. The de-tokenization service controller may then generate a de-tokenized data file comprising a plurality of records corresponding to the plurality of original tokenized records, using the decrypted sensitive values in place of the instances of tokenized data. In some embodiments, the methods may further comprise generating a validated file by adding one or more fields indicating the results of validation based on a set of validation rules.

Abstract: A computer-implemented method for demonstrating a personalized automated teller machine (ATM) presentation to a user may include: obtaining transaction data of the user via a device associated with the user; obtaining, via the one or more processors, geographic data of the user based on the transaction data; generating, via the one or more processors, ATM data based on the geographic data of the user; obtaining, via the one or more processors, user feedback data based on the ATM data, wherein the user feedback data comprises a selection of an ATM of the list of the ATMs; transmitting, to the selected ATM of the list of the ATMs, presentation data based on the transaction data and the user feedback data; and demonstrating, via the selected ATM of the list of the ATMs, the personalized ATM presentation to the user based on the presentation data.

Abstract: Systems and methods are disclosed herein for building contextual transcripts. A computing system may receive a textual transcript of a meeting that contains a variety of statements made by various attendees of the meeting, select the first statement made during the meeting, and determine which meeting attendee made the statement. A machine learning model corresponding to the particular attendee that has been trained using previously received statements by the particular attendee may be used on the utterance to determine the tone of the utterance. That tone may be recorded within the transcript and this process may be repeated for each utterance to build a contextual transcript.

Abstract: The disclosed embodiments include methods, systems, and articles of manufacture for enabling beta testing of new features within a native application. In one embodiment, a native application executed by a client device may include executable instructions that are activated and executed only upon indication of a user belonging to a beta test group. The client device may receive a signal from a service or content provider that includes test group information indicating whether a user is a member of a test group. The client device may process the received signal to determine whether the user is a member of a test group and, if so, activates and executes certain instructions received as part of the native application that define a user interface enabling access to additional functionality unavailable to a user determined not to be a member of a test group.

Abstract: System, apparatus, device, method and/or computer program product are disclosed for detecting the authenticity of an image file transferred from a device to a server based on an image authenticity detection configuration determined by a server application. A device application is operated by a device, and a server application is operated by a server. The device application sends, to the server application, user data, device data, or environment data. The server application determines an image authenticity detection configuration to indicate one or more parameters to be used by the device to generate a first image file, and authorized changes to be made to the first image file to generate a second image file. The device application sends the second image file to the server application. The server application detects whether the received second image file contains changes matching authorized changes indicated by the image authenticity detection configuration.

Abstract: Disclosed herein are system, method, and computer readable medium embodiments for machine learning systems to process interactive communications between at least two participants. Speech and text within the interactive communications are analyzed using machine learning models to infer insights located within the interactive communications. The inferred insights are converted to descriptive text or audio and tagged to the interactive communication as graphics or audio whispers reflecting the insights added to the interactive communication.

Abstract: A computer-implemented method may include: receiving financial information regarding a user; categorizing transaction information of the user based on the financial information; displaying the categorized transaction information of the user; receiving information regarding at least one financial preference and at least one transaction preference of the user; training a machine learning engine based on the at least one financial preference and at least one transaction preference of the user to determine one or more activities available to the user; calculating, for each of the one or more activities available to the user, an estimated influence on the at least one financial preference; displaying the estimated influence on the at least one financial preference based on a user selected one of the one or more activities available to the user; filtering the one or more activities available to the user with a positive estimated influence to the at least one financial preference; and presenting a recommendation of

Abstract: Provided are approaches for customizing transaction cards using a pressure sensitive modification area. In some approaches, a transaction card may include a body having a first main side opposite a second main side, wherein a chip is coupled to the first main side of the body, wherein a first outer layer extends along the first main side, and wherein a second outer layer extends along the second main side. The transaction card may further include an internal layer between the first and second outer layers, and a plurality of microspheres and a pigmented substance positioned between the internal layer and the first outer layer.

Abstract: Methods and systems for controlling users' access to data available on blockchains are described herein, comprising: determining a first right for a first user to first data; determining a location in a permissioned blockchain comprising the first data, the location being a first fork of the permissioned blockchain; determining a first privilege required to access the first fork; determining that the first user corresponds to a first cryptographic address; and assigning the first privilege to the first cryptographic address.

Abstract: The disclosed embodiments include a mobile client device for providing real-time manufacturer-based financing. In one embodiment, the mobile device is configured to receive a product code associated with a manufacturer product offered for sale at a merchant location. The mobile device may further provide the product code to a financial service provider system configured to create a manufacturer-based financial service account associated with the product manufacturer. Further, the mobile device may provide, to the financial service provider system, information associated with a received account application, where the financial service provider system may create the manufacturer-based financial service account based on the received information and the product code. The mobile device may also receive a purchase code for purchasing the product using the manufacturer-based financial service account, provide it at the merchant POS location, and receive a confirmation of product purchase.

Abstract: Systems and methods for managing models for call data are disclosed. For example, the system may include one or more memory units storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include receiving, from a user device, an input indicating a segment of a first recorded call and an attribute associated with the segment. The operations may include determining a parameter of a model, wherein the model is associated with the attribute. The operations may include changing the parameter based on the input. The operations may include generating an updated model based on the changed parameter, wherein the updated model may be configured to analyze recorded calls having one or more segments with the same attribute.

Abstract: In some embodiments, a system transmits a shared presentation to user devices associated with users. Then, in response to an inquiry from a first user associated with a first viewing device, the system identifies that an answer to this inquiry was covered in a previous portion of the presentation, and generates auxiliary data (e.g., an auxiliary video stream of the shared presentation) corresponding to the previous portion of the presentation. The system then causes the first viewing device to display the auxiliary data corresponding to the previous portion of the presentation, which includes an answer to the first user's inquiry, in lieu of the shared presentation. In an example, the auxiliary data may be played back at a speed that is faster than the default speed of the shared presentation.

Abstract: A computer-implemented method for testing failover may include: determining one or more cross-regional dependencies and traffic flow of an application in a first region of a cloud environment, wherein the one or more cross-regional dependencies include a dependency of the application in the first region of the cloud environment to one or more applications in at least one other region of the cloud environment; determining a risk score associated with performing failover of the application to a second region of the cloud environment at least based on the determined one or more cross-regional dependencies and traffic flow of the application; comparing the determined risk score with a predetermined risk score; in response to determining that the determined risk score is lower than the predetermined risk score, performing failover of the application to the second region of the cloud environment; isolating the second region of the cloud environment from the first region of the cloud environment for a predetermined

Abstract: Aspects described herein may relate to a transaction exchange platform using a streaming data platform (SDP) and microservices to process transactions according to review and approval workflows. The transaction exchange platform may receive transactions from origination sources, which may be added to the SDP as transaction objects. Microservices on the transaction exchange platform may interact with the transaction objects based on configured workflows associated with the transactions. Processing on the transaction exchange platform may facilitate clearing and settlement of transactions. Some aspects may provide for dynamic and flexible reconfiguration of workflows and/or microservices. Other aspects may provide for data snapshots and workflow tracking, allowing for monitoring, quality control, and auditability of transactions on the transaction exchange platform.

Abstract: Methods and systems for authenticating communications sessions, such as voice and video calls, are described herein. A communications session, such as a video or voice call, may be detected. The communications session may relate to a transaction, such as a financial transaction. An authorization request may be received during the communications session. The authorization request may be received by a secure transaction application and via a first communications channel that is different from a second communications channel used for the communications session. A request to approve one or more goods or services to be purchased via the transaction may be displayed. In response to user input responding to the request, an authorization of the transaction may be transmitted to a server. The authorization may be configured to cause the server to initiate payment for the transaction using payment information associated with a user.

Abstract: A device may determine that a verification method associated with a transaction card is to be modified from a first verification method to a second verification method. The first verification method and the second verification method may use different types of verification information. The device may provide a set of instructions to the transaction card after determining that the verification method is to be modified. The set of instructions may cause the transaction card to modify the verification method from the first verification method to the second verification method. The device may provide information identifying a modification to the verification method to a transaction backend device to notify the transaction backend device that the verification method associated with the transaction card has been modified from the first verification method to the second verification method.