Abstract: Systems, devices, and methods for machine learning based processing of service requests is described. A user device may send a service request to a service management platform. Based on keywords in the request and a knowledge base, the service management platform may send indications of one or more prospective solutions to the user device. The service management platform may update the knowledge base based on success or failure of the prospective solution.

Abstract: Provided is a system for orchestration of a mainframe computing environment. The system may include a mainframe. The system may include components such as a computer processor, a controller, a computing layer, a storage layer, and a network layer. The computer processor may run on the mainframe. The computer processor may utilize an application programming interface (API) to stitch the mainframe with the computing layer, the storage layer, and the network layer. An infrastructure as code (IaC) format may stitch together the components of the system. The computer processor may use the controller to utilize the IaC format to orchestrate the mainframe computing environment. The computer processor may optimize the utilization of the mainframe computing environment.

Abstract: Systems, computer program products, and methods are described herein for network traffic discovery and routing. The present invention is configured to capture data traffic across network ports in a computing environment; retrieve source code from code repositories; determine that the data traffic and the source code are associated with application programming interface (API) traffic; determine one or more end-point devices associated with the API traffic; determine a first API capable of processing the API traffic, wherein the first API meets supervisory requirements; and transmit a notification to the one or more end-point devices, wherein the notification comprises a recommendation to use the first API to process the API traffic.

Abstract: Systems, computer program products, and methods are described herein for network traffic discovery and analysis. The present invention is configured to capture data traffic across network ports in a computing environment; retrieve source code from code repositories; determine that the data traffic and the source code are associated with application programming interface (API) traffic; determine a first API associated with the API traffic; determine, using a machine learning (ML) subsystem, whether the first API meets supervisory requirements; and invoke a remediation protocol in an instance when the first API does not meet supervisory requirements.

Abstract: Apparatus and methods for enhancing a videotelephony conference experience by generating dynamic audio channels. Audio outputs may be provided to listeners over different channels. The multiple channels may simulate live, in-person conversation with conference participants. For example, listeners may also conduct separate, private conversations with other participants of the conference without leaving the general conference conversation. The videotelephony conference interface may coordinate presentation of participants to reflect the audio channels provided to a listener. For example, actively speaking participants may be positioned in different regions of the interface.

Abstract: Methods are provided to secure a mutual Transport Layer Security (TLS) verification between a client computer and a server computer, using an authorized viewer. Methods may include intercepting a file at the authorized viewer. Methods may include using a content inspection Artificial Intelligence (AI) module to inspect the data. Methods may include preventing the transmission of malicious data to a server computer.

Abstract: A system and method for making program recommendations to users of a network-based video recording system utilizes expressed preferences as inputs to collaborative filtering and Bayesian predictive algorithms to rate television programs using a graphical rating system. The predictive algorithms are adaptive, improving in accuracy as more programs are rated.

Abstract: A system and method for making program recommendations to users of a network-based video recording system utilizes expressed preferences as inputs to collaborative filtering and Bayesian predictive algorithms to rate television programs using a graphical rating system. The predictive algorithms are adaptive, improving in accuracy as more programs are rated.

Abstract: A system and method for making program recommendations to users of a network-based video recording system utilizes expressed preferences as inputs to collaborative filtering and Bayesian predictive algorithms to rate television programs using a graphical rating system. The predictive algorithms are adaptive, improving in accuracy as more programs are rated.

Abstract: A system and method for making program recommendations to users of a network-based video recording system utilizes expressed preferences as inputs to collaborative filtering and Bayesian predictive algorithms to rate television programs using a graphical rating system. The predictive algorithms are adaptive, improving in accuracy as more programs are rated.

Abstract: A system and method for making program recommendations to users of a network-based video recording system utilizes expressed preferences as inputs to collaborative filtering and Bayesian predictive algorithms to rate television programs using a graphical rating system. The predictive algorithms are adaptive, improving in accuracy as more programs are rated.

Abstract: A system and method for making program recommendations to users of a network-based video recording system utilizes expressed preferences as inputs to collaborative filtering and Bayesian predictive algorithms to rate television programs using a graphical rating system. The predictive algorithms are adaptive, improving in accuracy as more programs are rated.

Abstract: A system and method for making program recommendations to users of a network-based video recording system utilizes expressed preferences as inputs to collaborative filtering and Bayesian predictive algorithms to rate television programs using a graphical rating system. The predictive algorithms are adaptive, improving in accuracy as more programs are rated.

Abstract: A system and method for making program recommendations to users of a network-based video recording system utilizes expressed preferences as inputs to collaborative filtering and Bayesian predictive algorithms to rate television programs using a graphical rating system. The predictive algorithms are adaptive, improving in accuracy as more programs are rated.

Abstract: A device, system, and method are directed towards providing content over a network. A test definition is defined to include at least one group of visitors and/or a range associated with the group. The test definition is then received. A plurality of requests for a first content is received from the same browser. Each of the plurality of requests includes a previously generated value (PGV)/cookie. For each of the plurality of requests, a fast-hash is performed on the same PGV/cookie to generate an identifier (e.g., number). It is then determined whether to provide a second content instead of the first content based on whether the identifier is in the range associated with the at least one group of visitors. The determination may also be based on a URL filter, a browser type, operating system type, a time-range, or an argument-value pair. The first or second content is then provided.

Abstract: In accordance with the teachings described herein, a side mounted wireless headset is provided. The wireless headset may be configured to communicate with a remote device over a short range wireless link. The wireless headset may include an eartip extending from a headset body that is configured to be inserted into an ear canal when the wireless headset is positioned on a user's head. The eartip, when inserted into the ear canal, may occlude the ear canal and secure the wireless headset to the user's head. An earhook may be attached to the headset body and may be configured to extend around an outer surface of the user's ear to further secure the wireless headset to the user's head.

Abstract: In accordance with the teachings described herein, systems and methods are provided for providing environmental specific noise reduction algorithms (ESNRAs) in a head-mounted device. A network server may be used to store a plurality of ESNRAs. One or more of the ESNRAs may be downloaded from the network server for use in the head-mounted device. The head-mounted device may use one or more of the downloaded ESNRAs to filter environmental noise from an audio signal.

Abstract: In accordance with the teachings described herein, a communication headset with signal processing capabilities is provided. A radio communications circuitry may be included to communicate wirelessly with a communications device. A speaker may be included for directing acoustical signals into the ear canal of a headset user. A microphone may be included for receiving acoustical signals. A digital signal processor may be included for processing acoustical signals, the digital signal processor being operable in a first mode, such as a communication mode, and in a second mode, such as a hearing instrument mode.

Abstract: A system and method for making program recommendations to users of a network-based video recording system utilizes expressed preferences as inputs to collaborative filtering and Bayesian predictive algorithms to rate television programs using a graphical rating system. The predictive algorithms are adaptive, improving in accuracy as more programs are rated.