Abstract: Aspects of the disclosure relate to conducting automated web service testing in a continuous integration and delivery test deployment environment using artificial intelligence (AI) generated test data. In some embodiments, a computing platform may receive, from a developer computing platform, a test code request, receive, from a web service computing platform, a training data set, configure a test data set based on the training data set and the test code request, use AI engine to apply one or more corrections to the test data set based on the test code request and to produce a corrected test data set, execute the test code using the corrected test data set to produce test code output results, and send, to the developer computing platform, the test code output results.

Abstract: Embodiments of the invention are directed to systems, methods, and computer program products for intelligently identifying and correcting errors in resource transfer processes. The invention is generally comprised of a deployable layer of intelligent recommendation systems. The resulting service has ability to self-correct failed resource transfers. The invention is also dynamic, in that it can be integrated with other existing user interfaces. The intelligent recommendation systems are iteratively trained using feedback from real successes or failures in order to achieve a high degree of accuracy.

Abstract: Aspects of the disclosure relate to conducting automated web service testing in a continuous integration and delivery test deployment environment using artificial intelligence (AI) generated test data. In some embodiments, a computing platform may receive, from a developer computing platform, a test code request, receive, from a web service computing platform, a training data set, configure a test data set based on the training data set and the test code request, use AI engine to apply one or more corrections to the test data set based on the test code request and to produce a corrected test data set, execute the test code using the corrected test data set to produce test code output results, and send, to the developer computing platform, the test code output results.

Abstract: Aspects of the disclosure relate to conducting automated web service testing in a continuous integration and delivery test deployment environment using artificial intelligence (AI) generated test data. In some embodiments, a computing platform may receive, from a developer computing platform, a test code request, receive, from a web service computing platform, a training data set, configure a test data set based on the training data set and the test code request, use AI engine to apply one or more corrections to the test data set based on the test code request and to produce a corrected test data set, execute the test code using the corrected test data set to produce test code output results, and send, to the developer computing platform, the test code output results.

Abstract: Aspects of the disclosure relate to conducting automated web service testing in a continuous integration and delivery test deployment environment using artificial intelligence (AI) generated test data. In some embodiments, a computing platform may receive, from a developer computing platform, a test code request, receive, from a web service computing platform, a training data set, configure a test data set based on the training data set and the test code request, use AI engine to apply one or more corrections to the test data set based on the test code request and to produce a corrected test data set, execute the test code using the corrected test data set to produce test code output results, and send, to the developer computing platform, the test code output results.

Abstract: Embodiments of the invention are directed to a system, method, or computer program product for intelligence diagnosis and resolution of electronic document processing errors. As electronic documents are generated and transmitted throughout an entity, high volume segregation, classification, and indexing is needed for retention of the electronic documents. High volume processing batches are prone to locking, which disrupts and halts processing. As such, the system provides a multi layered intelligent diagnostic and resolution processing for interpretation, translation, and correction of electronic document error batch processing to eliminate lag and locking in document process retention.

Abstract: Embodiments of the present invention provide a system for providing real-time feedback during software code build and review sessions. The system is configured for determining that a first user is accessing a review session user interface via a user device, determining initiation of a first review session from the user device by the first user, wherein the first review session involves review of a software code associated with an entity application that is developed by at least one of the first user and a plurality of users, continuously capturing the first review session in real-time, via the user device, in response to capturing the first review session, process the first review session, and generating a recommendation based on processing the first review session.

Abstract: Embodiments of the invention are directed to a system, method, or computer program product for intelligence diagnosis and resolution of electronic document processing errors. As electronic documents are generated and transmitted throughout an entity, high volume segregation, classification, and indexing is needed for retention of the electronic documents. High volume processing batches are prone to locking, which disrupts and halts processing. As such, the system provides a multi layered intelligent diagnostic and resolution processing for interpretation, translation, and correction of electronic document error batch processing to eliminate lag and locking in document process retention.