Abstract: A system includes a memory and a processor configured to detect that a primary mainframe job has failed, and extracts information related to the failed primary mainframe job, wherein the extracted information includes an error description of an error that caused the primary mainframe job to fail. The processor searches the memory based on the error description for a set of corrective actions corresponding to the error. In response to determining the set of corrective actions based on the search, the processor obtains a criticality index relating to the primary mainframe job. When the criticality index is lower than a criticality index threshold, the processor applies the set of corrective actions in relation to the failed primary mainframe job and processes the failed primary mainframe job after applying the set of corrective actions.

Abstract: A system includes a memory and a processor configured to receive a request to process a primary mainframe job and extract information related to the primary mainframe job, wherein the extracted information includes one or more of data files, file attributes and database tables needed to process the primary mainframe job. The processor detects that one or more of the files, the file attributes and the database tables is unavailable, and in response, places the primary mainframe job on hold. The processor monitors availability of the one or more unavailable files, file attributes or database tables and in response to detecting that the one or more unavailable files, file attributes or database tables is available, processes the primary mainframe job.

Abstract: Embodiments of the invention are directed to systems, methods, and computer program products that provide a unique platform for analyzing, classifying, extracting, and dialogue information from audio file recordings between a customer and an agent of an entity. In particular, the novel present invention provides a unique platform for analyzing, classifying, extracting, and processing information from call recordings using an image-based encryption method and cognitive neural engine in order to segment audio files according to speaker, and later analyze recording information to generate contextual inferences regarding user preferences and agent performance.

Abstract: Embodiments of the present invention provide a system for detecting and correcting data quality issues in electronic data feeds via metadata analysis. The system is configured for receiving data from one or more electronic data feeds, wherein the data comprises an actual metadata file with metadata associated with the data, predicting quality of the data, via an artificial intelligence engine, comparing the actual metadata file with an enhanced metadata file associated with the one or more electronic data feeds based on the prediction of the quality of the data, detecting an anomaly between the actual metadata file and the enhanced metadata file based on comparing the actual metadata file with an enhanced metadata file, performing one or more remediation actions on the data to correct the anomaly, and transmitting corrected data to one or more feed processing systems.

Abstract: Aspects of the disclosure relate to user authentication. A computing platform may validate, after launch of an application, initial authentication credentials and geolocation information for a user of a client device. The computing platform may cause the client device to activate the integrated camera. The computing platform may receive, from the client device, video information indicating multiple viewpoints from perspectives of the client device, and including any individuals within a predetermined distance of the client device. The computing platform may generate faceprints, each corresponding to one of the individuals within the predetermined distance. The computing platform may compare, using an AI engine, the faceprints to stored faceprints of authenticated users. Based on identifying that at least one of the individuals is not authenticated, the computing platform may mask an application user interface for the application.

Abstract: A system for processing service requests associated with an enterprise's systems and applications is described. A service request may comprise a text input from an end-user. A machine learning algorithm may be employed to determine a search string corresponding to the text input. The search string may be used to determine one or more documents, which may then be analyzed using a neural network to determine a most relevant document. A natural language processing (NLP) algorithm may then be used to process the document and provide a response to the service request.

Abstract: Embodiments of the present invention provide a system for routing functionality packets based on monitoring real-time indicators. The system is configured for continuously gathering real-time input data from one or more monitoring devices, wherein the real-time input data is associated with at least one user, extracting computed data from a data repository, aggregating and processing the real-time input data and the computed data, and in response to aggregating and processing the real-time input data and the computed data, dynamically identifying a real-time anomaly associated with the at least one user.