Abstract: Various methods, apparatuses/systems, and media for implementing a unified framework for collecting, processing, enriching, validating, and distributing explicit and implicit feedback of all types from any software application agnostic to use case and contexts are disclosed. A processor receives a query from an application to collect feedback data from a particular field within an ontology that includes mapping of application level details where all fields are being used in capturing data; analyzes the query and traverses up ontology branches of an ontology structure of the ontology to create one or more feedback collection schemas based on the received query; collects the feedback data from the particular field based on the one or more feedback collection schemas; assigns the collected feedback data an event under a topic for consumption so that an end user can subscribe to the event and consume the feedback data under the topic as desired.

Abstract: A method for automating a loan origination process by optimizing parameters used for routing loan origination applications to underwriters and prioritizing the handling of the applications is provided. The method includes: receiving first information that relates to a loan origination application; obtaining parameter values from the first information; retrieving second information that relates to candidate underwriters; generating, based on the parameter values and the second information, a task procedure for processing the loan origination application, including an identification of a target underwriter and requirements for completion of the processing of the loan origination application; transmitting, to the target underwriter, a request message that includes the first information and the task procedure; and receiving a confirmation message indicating that the task procedure is acceptable.

Abstract: Various methods, apparatuses/systems, and media for synthetic text generation are disclosed. A processor implements a text style transfer algorithm to first input data to generate complaints data from non-complaint emails data associated with a plurality non-complaint emails; converts the plurality of non-complaint emails into a first set of complaint emails based on implementing the text style transfer algorithm; implements a text generation model algorithm to second input data to generate a second set of complaint emails from a plurality of complaint emails; generates a set of synthetic complaint emails based on the generated first set of complaint emails and the second set of complaint emails; trains a model based on the generated synthetic complaint emails; and applies the trained model to a new set of emails to resolve class imbalance in automatic complaint identification from the new set of emails.

Abstract: A method for managing user stories in software development via artificial intelligence is disclosed. The method includes aggregating, via an application programming interface, raw data from a software development framework according to a predetermined schedule, the raw data corresponding to user stories from a plurality of users in a natural language format; ingesting the aggregated raw data to generate structured data sets; generating a language model by using a neural network and the structured data sets, the neural network including a transformer component; training, by using the structured data sets, the language model based on predetermined criterions; tuning the trained language model for tasks by adjusting parameters; and exposing, via a communication interface, the tuned language model.

Abstract: A method and a system for maintaining immutability of evidence that relates to software development life cycle data and that is protected from tampering in order to guarantee data integrity and consistency are provided. The method includes: receiving an evidence item that relates to a software development; encrypting the evidence item; storing the encrypted evidence item in a memory; computing a hash value based on the evidence item; and combining the hash value with a hash tree that relates to the software development. The hash tree includes a set of hash values for which there is a one-to-one correspondence with a set of evidence items that are represented in the hash tree. When tampering, such as content alteration or deletion, occurs with respect to an evidence item, the hash values in the hash tree may be used to determine the evidence item for which the tampering has occurred.

Abstract: A method and system for performing dynamic provisioning of augmented reality information is provided. The method includes acquiring, from a user device of a user, user device-based information, retrieving rebate information corresponding to the user device-based information, and retrieving user information of the user of the user device. Based on the acquired and retrieved information, the method further tracks movement or activity of the user device, and determines whether a predetermined condition is met. When the predetermined condition is determined to have been met, the method displays one or more rebates in augmented reality over image information displayed on a display of the user device. However, when the predetermined condition is determined not to have been met, the method continues the tracking of movement or activity of the user device until the predetermined condition is determined to be met.

Abstract: A method for facilitating serialized data interchange and access via an application programming interface is provided. The method includes retrieving a data set from a networked repository, the data set including information in a multidimensional data structure; mapping the data set to a predetermined file format; generating a standardized data set based on a result of the mapping, the standardized data set corresponding to the predetermined file format; persisting the standardized data set in the networked repository; and exposing the standardized data set in the networked repository via the application programming interface.

Abstract: An embodiment of the present invention is directed to a market data hub. The innovative system comprises a processing engine that manages contributed content and allows for custom analytics, alerting, reporting, machine learning interfaces, etc., while preserving entitlements controls specific to participants. Moreover, the system disseminates market data to downstream consumers and syndicated entities that are entitled to view the market data.

Abstract: Various methods, apparatuses/systems, and media for implementing an automated data extraction, formatting, and distribution module are disclosed. A receiver receives input data to create a feed from a user via a user interface (UI). A processor operatively coupled to the receiver defines reusable data sets to be utilized for creating the feed; and selects desired number of a plurality of first selectable icons for selecting exact data from the reusable data sets required for creating the feed. Each of the selected first selectable icon is associated with a corresponding data source having columns to supply the exact data from the reusable data sets. The processor selects desired number of a plurality of second selectable icons for selecting a desired transformation or formatting process needed for the columns of each data source; creates the feed and defines a custom distribution process of the created feed from the UI.

Abstract: A method for performing reducing noise and false positive event detection in testing is disclosed. The method includes performing scanning of a source file including multiple strings; determining, an entropy value of each string included in the multiple strings; acquiring, from a central repository, a first threshold value; identifying one or more strings having an entropy value higher than the first threshold value; removing the one or more strings having the entropy value higher than the first threshold value from the source file; deriving a second threshold value based on the determined entropy values and the first threshold value; identifying one or more strings having an entropy value lower than the second threshold value; removing the one or more strings having the entropy value lower than the second threshold value from the source file; and executing one or more tests on strings remaining in the source file.

Abstract: Various methods, apparatuses/systems, and media for implementing automatic project transformation and migration processes are disclosed. A processor accesses a private cloud to fetch data related to a state of a project and posts migration mapping data to a migration director corresponding to the project based on the fetched data. The processor also sets user interface state according to project migration state; queues the project for processing; transforms the project to a standardized line of business (LOB) configuration; determines that a validation environment is in a clean configuration; migrates, based on determining that the validation environment is in a clean configuration, the transformed project to the validation environment; and receives user input to approve the migrated project.

Abstract: A method and system for providing outbox services separate from a source application in a distributed application system are disclosed. The method includes performing, by the source application, an operation; writing, onto an operation store, data associated with the operation performed by the source application; writing, onto an event store, an event corresponding to the data; receiving, by an outbox transporter and from the event store, the event; and publishing, to a target and by the outbox transporter, the event received by the outbox transport processor, in which the outbox transporter is separate from the source application.

Abstract: A method and a computing apparatus for authenticating an identification to prevent fraud are provided. The method includes: receiving a request for an interaction from a user; displaying a user interface that includes options for proving an identity of the user; receiving, from the user via the user interface, a selection of one of the options; accessing, from a card or a smart phone of the user, first information that corresponds to the selected option; retrieving, from an external database, second information that independently corresponds to the selected option; comparing the accessed first information with the retrieved second information; and determining whether to authenticate the identity of the user based on a result of the comparison.

Abstract: A method, system, and computer-readable storage medium for implementing a location-based electronic transaction service are provided. The method includes: receiving a request for a first electronic transaction associated with a first transaction account; obtaining a geographic location associated with the request; transmitting a query for an identification of transaction accounts that are registered to conduct location-based electronic transactions at the geographic location; receiving the identification of transaction accounts; and utilizing the transaction account database to determine whether the first transaction account is registered to conduct the location-based electronic transactions.

Abstract: Various methods, apparatuses/systems, and media for programmatically generating and rotating secrets for applications to read them to connect to various services are disclosed. A processor determines, in a preconfigured time interval, whether secrets/credentials corresponding to a service provider has been changed; calls a first API to retrieve the changed secrets/credentials from the corresponding service provider; stores the changed secrets/credentials to a corresponding predefined location; causes an application to call a second API to retrieve the changed secret or the credential from the corresponding predefined location; and automatically establishes a connection between the application and the corresponding service provider based on a determination that the changed secrets/credentials retrieved from the predefined location matches with the changed secrets/credentials retrieved from the corresponding service provider during the preconfigured time interval.

Abstract: A system and a method for allocating limited resources to agents that reveal their stochastic demands on arrival over a finite horizon in a proportionally fair manner that exhausts available resource budgets are provided. The method includes: receiving, from an entity, a request for a resource for which a predetermined maximum amount of the resource is available for allocation; estimating a number of future requests and amounts of the resource to be requested within a predetermined time interval; adjusting a result of the estimating by calculating a standard deviation of an uncertainty of at least one future request; and determining, based on the estimates and the adjustment, an amount of the resource to allocated to the entity by applying an algorithm with respect to the adjusted estimates and the predetermined maximum available amount of the resources.

Abstract: Various methods, apparatuses/systems, and media for mediating traffic between an APCR and a TPS. A processor intercepts all traffic between a plurality of APCR and a plurality of TPS; halts a TCP connection from an incoming transaction request; determines that the incoming transaction request has been originated from a particular APCR among the plurality of APCR; checks, based on determining, which TPS or its siblings the incoming transaction request should be routed to; executes, based on checking, a new TCP connection with either the TPS or its siblings; receives, based on the new TCP connection, a response from the connected TPS or its siblings; attaches the response to the halted TCP connection after intercepting the response; resumes the halted TCP connection; and receives the response by an APCR node of the particular APCR in a manner as if directly received from the TPS or its siblings.

Abstract: Various methods, apparatuses/systems, and media for checking the implementation of the design systems/tool kits in application development are disclosed. A processor accesses a database that stores statistical data corresponding to implementing a new application or feature enhancement into a current application; scans an endpoint and collect corresponding statistical data from the database; generates feedback data based on the collected corresponding statistical data regarding implementing the new application or feature enhancement into a current application; creates a machine learning model configured to be trained to output decision data based on the generated feedback data; trains the machine learning model with the decision data; and generates a score by utilizing the trained machine learning model.

Abstract: A method and a system for providing actionable smart monitoring of error messages generated during repave microservice operations in order to reduce the number of human interventions required are provided. The method includes: receiving reports that relate to system failures; analyzing each report to determine features that relate to the system failures; clustering the features into a set of feature groups; determining a corresponding report as a representative error indicator for each respective feature group; and generating, for each respective feature group, a cluster representative message that identifies the corresponding report. The cluster representative messages are then displayable on a user interface to facilitate efficient user action to address system failures and errors.

Abstract: A method for updating code in a shared codebase is provided. The method includes: using artificial intelligence techniques to generate a network graph that indicates a set of dependencies between a plurality of code modules included in the shared codebase; receiving information that relates to updating a first code module from among the plurality of code modules; and determining, based on the network graph, a subset of the plurality of code modules to be impacted when the first code module is updated. The method may further include scanning release notes associated with the shared codebase, and using natural language processing techniques to determine functions that will be impacted by the update.