Abstract: In some aspects, a computing system may generate uninformative features that may be added to a dataset of real features to use as a baseline for determining the quality of an explanation of model output. The uninformative features may be features that do not correlate with what a model is tasked with predicting (e.g., the uninformative features may be random values), and the real features may be informative and correlate with what the model is tasked with predicting (e.g., variables of a dataset sample). A machine learning model may be trained on a dataset that includes both the real features and the uninformative features. The computing system may generate feature attributions for model output, which may include feature attributions for the uninformative features and the real features in the dataset.

Abstract: Methods, systems, and apparatuses for providing access to records of a database stored on a database server in a cloud database platform are described herein. A data sharing platform may determine a shared view definition for access to the database. The data sharing platform may determine rules that specify criteria that limit access to the records stored by the database. The one or more first rules may be received via a user interface. The data sharing platform may perform, based on the rules, a data access certification process on the records stored by the database to generate a table of certification results. The data sharing platform may generate, based on the table of certification results, and without modifying the records stored by the database, a limited consumer view definition. Based on updates to the records, a new limited consumer view definition may be generated.

Abstract: Systems and methods for linking a screen capture to a user support session are disclosed. The system may receive a screen capture initiation request from a user device. The system may capture a first data object indicative of a first graphical user interface associated with the user device. The system may provide, to the user device, the first graphical user interface for a predetermined period of time. The system may track, by the one or more processors, one or more inputs from the user device that indicate the presence of one or more articles of sensitive information within the graphical user interface. The system may mask the one or more articles of sensitive information within the graphical user interface, generate a second data object indicative of the graphical user interface having the masked articles of sensitive information, and store the second data object in a data repository.

Abstract: In some implementations, a system may receive an audio stream associated with a call between a user and an agent. The system may process, by the device and using a speech alteration model, speech from a first channel of the audio stream to alter the speech from having a first speech characteristic to having a second speech characteristic, wherein the speech alteration model is trained based on reference audio data associated with the first speech characteristic and the second speech characteristic and based on reference speech data associated with the first speech characteristic and the second speech characteristic. The system may extract the speech from the first channel that has the first speech characteristic. The system may provide, within a second channel of the audio stream, altered speech that corresponds to the speech and that has the first speech characteristic.

Abstract: In certain embodiments, reference identifiers may be generated and embedded into a website's content. A request for a reference identifier to be embedded into first content on a first website may be obtained based on a user accessing the first website. Based on the request, interaction data related to the first website may be retrieved indicating that a prior user interacted with text on the first website and subsequently accessed a second website. A reference identifier related to the second website may be caused to be embedded into the text on the first website based on: (i) the second website comprising second content related to the text, (ii) the prior user interacting with the text on the first website, and (iii) the prior user accessing the second website after interacting with the first content on the first website.

Abstract: Disclosed embodiments include aspects that relate to authentication of contactless interactions. Identifying information can be provided from multiple sources. A chip-embedded card can be registered to an individual and include identifying information associated with the information. During a contactless transaction, identifying information can be acquired. An individual's identity can be validated based on identifying information. A chip-embedded card can be read by a card reader at a particular location providing physical presence information. In one instance, identifying information from the chip-embedded card can be compared to other identifying information to determine whether there is a match or mismatch. A confidence score can be computed based on the amount and type of information provided. An individual's identity can be validated when the confidence score satisfies a threshold.

Abstract: Systems and methods involving provision of machine-learning-based prediction of future failure, anomaly, etc. in execution of batch processes are disclosed. In one illustrative implementation, an exemplary method may comprise obtaining historical data from prior execution of one or more batch processes, training a machine learning model to predict one or more future failure(s) and/or future flag(s) in execution of a future batch process, generating and/or collecting descriptive analytics pertinent to execution of the batch processes, and predicting a future failure and/or future flag in execution of the batch processes using the trained machine learning model and/or the descriptive analytics.

Abstract: Provided herein are system, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof for controlling access to a website. In some embodiments, a user scans a machine-readable indicia with their mobile device to access a backend redirect page. The backend redirect page receives the access request, generates a unique session identifier, and configures a dynamic address based on the unique session identifier. The backend redirect page redirects the mobile device to an intake page of a website using the dynamic address for that page. Whenever the user attempts to load a page in the website using the corresponding dynamic address, an intake backend for frontend verifies the validity of the unique session identifier associated with the dynamic address. A session monitor tracks the amount of time since the unique session identifier was generated and invalidates the unique session identifier after a predetermined amount of time has passed.

Abstract: Various embodiments are generally directed to techniques to facilitating delivery of a package or sensitive item to a user, where the package or sensitive item can be a credit card or debit card. Various techniques, methods, systems, and apparatuses include utilizing one or more factors for determining an optimal delivery location or path in relation to the user obtaining the sensitive package or item. Various embodiments can provide the user or the delivery courier with an interface that maps or otherwise indicates, by a color-scheme or other suitable scheme, one or more of demand and availability of the sensitive item or package in relation to a receiving or delivery location, where in various embodiments, the mapping or scheme associated with demand and availability can be based in whole or in part on the one or more factors associated with optimal delivery.

Abstract: A system and method in accordance with example embodiments may include systems and methods for generating and transforming data presentation. The method may include receiving, using a processor, a request for a web page, and submitting, by the processor, the request to a computer server system. The request can include a user identification and a user password. The method may further include receiving, from the computer server system, data corresponding to the requested web page. Further, the method includes storing, in a memory, the received data, and causing the received data to be shown on a display associated with the user device.

Abstract: A method, apparatus, and computer-readable medium are described that provide integrated testing and validation of multi-phase instructions before deployment. Aspects of the disclosure relate to testing ETL instructions using an efficient process that individually and/or holistically validates the ETL instructions and, using a random number generator, varies various aspects of the source datasets. A benefit of running the combination of instructions includes finding errors that are not apparent during testing of each instruction phase separately. Instructions may be separately provided that identify the framework of an in-memory source dataset (e.g., a quantity of rows, a quantity of columns, types of the various columns, data for each record, and the like). The instructions for the framework may also identify a variability of one or more of the items of the framework.

Abstract: Methods and systems for facilitating group payment are disclosed. In one embodiment, a group payment system is configured to execute instructions to perform operations that include receiving, from a first computing device, a request to create a group payment event and, in response, providing to the first computing device a first interface associated with the group payment event. The operations further include receiving, from a second computing device, a request to join the group payment event and, in response, providing a second interface to the second computing device. The operations further include receiving, from the first and/or second computing devices, messages associated with the group payment event and modifying the first and second interfaces to display the messages. The operations further include receiving, from the first and/or second computing devices, financial contributions for the group payment event and modifying the first and second interfaces to display the financial contributions.

Abstract: Techniques for protecting data using two password asymmetric encryption based on time-constrained password-based partner tokens. To encrypt data, a first partner computing device receives a first partner token from a second computing device. The first partner computing device decrypts the first partner token to recover first public key data generated by the second partner computing device. The first partner computing device derives a cryptographic encryption key to encrypt the data based on the first public key data, and based on first private key data generated by the first partner computing device. The second computing device may decrypt the encrypted data based on a second partner token generated by the first partner computing device, using a cryptographic decryption key derived using second private key data generated by the second computing device and second public key data generated by the first computing device and embedded and encrypted in the second partner token.

Abstract: Systems and methods for determining that a new software program is in parity with a legacy software program. In some aspects, the system receives information for multiple threads processed by a legacy software program. The system processes the information using the new software program, which is executed in parallel with the legacy software program. If an output of a particular thread from the new software program varies outside a threshold distance from a corresponding output for the thread from the legacy software program, the system ceases further processing of the particular thread by the new software program. Otherwise, the system allows processing of the particular thread by the new software program to continue.

Abstract: A processor may receive data and generate a quantified representation of the data by processing the data using at least one machine learning (ML) algorithm, the quantified representation of the data indicating a sentiment of content of the data. The processor may automatically revise the content of the communications data. The revising may include determining a reaction to the content of the communications data, generating a quantified representation of the reaction, determining a difference between the quantified representation of the reaction and the quantified representation of the communications data, identifying, based on the difference, a portion of the content having an unintended sentiment, and replacing the portion of the content with different content.

Abstract: In some implementations, a system may receive, from a user device, a service request for a vehicle experience. The system may obtain qualification information associated with the driver. The system may provide, based on the qualification information and to the user device, a verification code for authenticating a driver for the vehicle experience. The system may provide a notification that indicates that the driver requested the vehicle experience. The notification may include driver information and vehicle information associated with a vehicle involved in the vehicle experience. The system may authenticate, based on scan data of the verification code, the driver for the vehicle experience. The scan data may be received from an agent device that is associated with the location management system. The system may provide authentication information to the agent device to facilitate authentication of the driver for the vehicle experience.

Abstract: This disclosure relates generally to systems and methods for providing personalized financing information and, more particularly, systems and methods for providing personalized financing information via a dealership website using an API associated with a financial service provider. In one embodiment, a system includes memory hardware storing instructions that configure processing hardware to receive a loan request for a buyer via a real-time API that includes at least buyer identification and financial information and information associated at least one inventory item presented on a dealership website. The system may also determine financing information comprising prospective financing terms for the at least one item based on at least the loan request. The server may also provide, to the dealership server via the real-time API, the determined financing information for presentation on the dealership website, including prospective financing terms information corresponding to each of the at least one item.

Abstract: Aspects discussed herein may relate to techniques for authenticating a user using transaction-based authentication questions. The transaction-based authentication questions may be provided to the user. The user may provide audible responses to the transaction-based authentication questions that may be captured by a smart device, such as an always on listening device. Authentication of the user may be based on voice analysis of the audible responses to the transaction-based authentication questions and/or based on the answers to the transaction-based authentication questions.

Abstract: Methods and systems are for a content delivery management platform that organizes and monitors content delivery networks by the applications, features, or functions that they serve. The content delivery management platform is agnostic to the content delivery network. To provide this functionality, the content delivery management platform uses an abstraction layer to interface between the content delivery networks and the needs of the content provider (e.g., the owner of the content delivery management platform) as it serves users (e.g., provides the applications, features, or functions).

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.