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: Systems, computer program products, and methods are described herein for dynamic folding and compression of data using quantum computing. The present disclosure is configured to determine a list of similarities through a comparison of a dataset with a historical record associated with previous datasets; recreate, in response to the list of similarities of the dataset, the dataset through a process map table; compress the dataset based on similarities found in the historical record; determine a folding type for folding of the compressed dataset; and encrypting the folded and compressed dataset, the dynamic hash table, and the key value data pair through quantum computing utilizing linear compression.

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 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: 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: 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.