Abstract: Methods and systems for a browser extension application are disclosed. In some embodiments, a browser extension application is configured to receive from a browser extension server a regular expression configured to detect a plurality of fields in a web page and execute the regular expression to detect a transaction field in the web page and automatically populate the transaction field with stored data. The application is further configured to detect an unrecognized field in the web page, provide suggested transaction data, and detecting manual population of the unrecognized field with the suggested transaction data. The application is further configured to providing to the browser extension server an indication of the unrecognized field and receive from the browser extension server an updated regular expression configured to detect the unrecognized field in the web page.

Abstract: Systems, methods, articles of manufacture, and computer-readable media for verification of medical status using a contactless card. An application may receive a request specifying a subject and a medical condition. The application may receive a cryptogram from a contactless card. The application may receive a decryption result from a server and determine that the server decrypted the cryptogram. The application may receive, from the contactless card, a medical attestation, a digital signature of the medical attestation, and a public key of the digital signature. The application may decrypt the digital signature based on the public key of the digital signature and verify the medical attestation based on the decrypted digital signature. The application may determine, based on the verification of the medical attestation, that the subject is immune to the medical condition. The application may output a result that the subject is immune to the medical condition.

Abstract: In some aspects, a computing system may use machine learning to determine whether a control is faulty or generate recommendations to make a modification to a control. may identify a portion of problematic computer code that implements the faulty control through the use of machine learning. A computing system may use machine learning to generate embeddings that map incident data and control data (e.g., computer-readable code of a control) to the same vector space. Further, a computing system may use a weighting mechanism that may be used to weight each sample used to train a machine learning model, which may allow a model to train more efficiently.

Abstract: A system may transmit an MLM to one or more entities. The system may receive, from the one or more entities, data associated with a plurality of customers, the data generated by the MLM. The system may train a federated deep NN based on the data. The system may receive, from a user, a first request for a loan. The system may generate, using the federated deep NN, a risk score associated with the user, wherein the risk score comprises a likelihood the user will satisfy condition(s) of the loan. The system may transmit, to lender(s), the risk score and a second request for loan option(s) for backing the first request for the loan. The system may receive, from the first lender(s), the loan option(s) for backing the first request for the loan, and may transmit the loan option(s) to the user.

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: A method for pre-authorizing a credit transaction may include receiving a pre-authorization request including a request identifier, a user identifier, a pre-authorization amount, a time duration identifier, and a vendor identifier, transmitting the pre-authorization request to a server remote from the user device, receiving a pre-authorization confirmation including the request identifier, a confirmation identifier, and a time duration identifier, and displaying a confirmation message that the pre-authorization request has been approved.

Abstract: Systems as described herein may analyze big data to generate predictions for Software-as-a-Service (SaaS) offerings and/or other subscription-based software. A prediction system may receive small business transaction data comprising payment information between a plurality of merchants and a software vendor. The prediction system may receive enterprise merchant insights information. The prediction system may identify, based on the small business transaction data and the enterprise merchant insights information, recurring transactions using a first machine learning model. The prediction system may generate an average contract price and a confidence score, using a second machine learning model. The prediction system may generate a recommendation comprising a renewal rate. Based on a determination that a service provided by the software vendor is coming due for renewal, the prediction system may send, to a particular merchant, an alert associated with the renewal and the recommendation.

Abstract: In some implementations, a device may determine that a computing environment is to be deployed. The computing environment may be associated with an infrastructure configuration. The device may obtain, from a repository, one or more definition files for the infrastructure configuration. The repository may include definition files associated with multiple infrastructure configurations. The device may cause deployment of the computing environment based on the one or more definition files.

Abstract: Methods and systems are discussed for location-based guidance based on interior conditions at a plurality of locations. For example, the system may receive, from a user device of a user, a user request to access a first service. The system may retrieve a plurality of locations that provide the first service. The system may retrieve an average density for respective first queuing areas at each of the plurality of locations at a first time interval. The system may, in response to determining a subset of the plurality of locations where the average density for the respective first queuing areas at the first time interval exceed the threshold average density, generate for display, on the user device, a recommendation for a location from the subset at which to access the first service at the first time interval.

Abstract: A method or system for monitoring data quality issues in non-native data over disparate computer networks is described. The system may monitor incoming data entries of non-native data over a disparate computer network. The system may generate for display, on a user interface, a recommendation based on a difference between a number of the first plurality of data entries and a dynamic threshold.

Abstract: Methods, systems, and apparatuses are described herein for improving computer authentication processes by analyzing user response times to authentication questions. A request for access to an account may be received. Transaction data associated with a user of that account may be retrieved, and a list of merchants may be generated based on the transaction data. A blocklist may be retrieved, and the list of merchants may be filtered based on the blocklist. An authentication question may be presented. The authentication question may relate to the list of merchants. User responses may be received, and response times for the user responses may be measured. Based on the response times and the response times for other users, an average response time for the merchants may be determined. Based on the average response time for a particular merchant exceeding a threshold, the particular merchant may be added to the blocklist.

Abstract: Disclosed are methods and systems for validating instruments. For instance, a request to generate a cashier's check may be received from an application executing on a drawer's computing device. Request information may be stored within a data storage entry for the check, and a code to be printed on the check may be generated to include at least a portion of the request information. Instructions may be provided to a printing system to cause the check to be printed with the code, where the printed check is invalid. Instructions may be provided to the application and/or printing system to cause display of a prompt to facilitate a reading of the code to validate the check. When information within the code is read by and received from the printing system, the check may be validated, which triggers a transfer of funds from the drawer's account. Otherwise, the check may remain invalid.

Abstract: A method and system for authorizing card account transactions by geographic region by providing data for a user interface displaying geographic regions and merchant locations each corresponding to the location of a merchant where a transaction using a card account may be initiated, receiving a user interface selection representing a request to authorize or restrict card account transactions, receiving authorization requests for desired transactions, and authorizing or restricting the transactions in accordance with the request.

Abstract: Techniques for data quality analysis may include the determination of data quality metrics using reconfigurable quality components. Access to the data may be based on the determined quality metrics. The configurable quality components may determine quality metrics for corresponding datasets. The quality components may be configured automatically based on quality configurations. The configuration of the quality components may be facilitated using a data orchestrator.

Abstract: In certain embodiments, a presentation of a user interface may be dynamically modified for a user based on data related to the user's email address or other user identifier. As an example, the user interface may be caused to reflect the look and feel of an interface of an entity trusted by the user, incorporate data items related to the user's identifier, or effectuate other modifications. In some embodiments, a user identifier of a user may be received via a user interface associated with the third party, and a query for data related to one or more user accounts associated with the user identifier may be generated. Based on the query, multiple datasets associated with different user accounts may be received, and a first dataset associated with a first account of the user may be selected over other datasets associated with the user's other accounts effectuate the presentation modification.

Abstract: Aspects described herein may relate to a transaction exchange platform using a streaming data platform (SDP) and microservices to process transactions in accordance with corresponding 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. Further, the microservices may leverage machine-learning models to determine whether transaction objects may be more effectively processed using alternative or secondary workflows. Processing on the transaction exchange platform may facilitate clearing and settlement of transactions. Some aspects may provide for dynamic and flexible reconfiguration of workflows.

Abstract: Delegated administration of permissions using a contactless card. In one example, a permissions module may receive a request from a first account to grant a second account access to a computing resource. The permissions module may receive permissions data of the first account from a contactless card and encrypted data generated by the contactless card. The permissions module may transmit the permissions data and the encrypted data to an authentication server, which may verify the encrypted data based at least in part on the private key, and determine, based on the permissions data, that the first account has permissions to grant access to the computing resource. The permissions module may receive, from the authentication server, an indication of the verification of the encrypted data and a permissions vector associated with the second account, the permissions vector reflecting the grant of access to the computing resource to the second account.

Abstract: Methods and systems are described for machine learning algorithms that dynamically allocate traffic to contact strategies that are performing well, while allocating less traffic to contact strategies that are underperforming. In particular, the methods and systems discussed are for the use of a contextual multi-armed bandit framework for applications that have both immediate results and long-term results, in which immediate results are correlated with the long-term results (e.g., results related to debt collection strategies).

Abstract: Methods and systems for providing browser extension are disclosed. In some embodiments, the browser extension system includes a communication device in communication with a computing device and a networked system. The browser extension system also includes a processor configured to perform operations comprising: maintaining data associated with the computing device; detecting, through a browser extension application running on the computing device, a field in a web page associated with the networked system and provided by a web browser application running on the computing device; and in response to detecting the field: (i) automatically populating the field, through the browser extension application, with a secure token mapped to the data, (ii) detecting, through the browser extension application, a submission script associated with the web page, and (iii) automatically executing the submission script to submit the secure token through the browser extension application to the networked system.

Abstract: A method is provided for displaying an augmented reality image of account information associated with an indicialess transaction card having a card surface with a background pattern applied thereto. A real-time image of the card surface is captured and processed to determine if the background pattern matches a card background pattern associated with a cardholder account. Responsive to a positive determination, communication is established between the user device processor and a card processor carried by the indicialess transaction card. The user device processor receives from the card processor an encrypted verification block and transmits, to an authentication server, an authentication request including the verification block.