Abstract: A method, apparatus and computer program product for modifying a user interface in a web browsing session is described. During a learning session with a first user, a user model is created. The user model includes associating user movement of the first user with a set of user focus types. During the web browsing session with the first user, the system determines that a first user focus of the set of user focus types in the user model is appropriate to modify a web application user interface to present a priority user interface element in the user interface. The web application user interface is modified according to the first user focus.

Abstract: A machine learning model repeatedly scans data exhaust for workstations (for which there are retention requirements regarding data exhaust) over a period of time. The machine learning model analyzes the respective data exhaust and the retention requirements to determine respective data exhaust logging parameters for each workstation. The machine learning model monitors respective data exhaust activity for each workstation over a subsequent period of time. An instance is identified in which logging activity of data exhaust for an identified workstation fails the retention requirements. An ameliorative action designed to satisfy the respective retention requirements for the identified workstation is executed.

Abstract: A computer generates a profile, where the profile comprises one or more programs to monitor. The computer determines a baseline for each of the one or more programs by collecting one or more values associated with a normal operation for each of the one or more programs. The computer detects an anomaly based on deviation of the one or more values from the normal operation. Based on identifying a playbook for the anomaly, the computer applies the playbook on the program from the one or more programs. The computer organizes chat services based on identifying one or more members associated with the anomaly.

Abstract: Systems and methods of the invention determine evasiveness of postings and manage chat sessions accordingly. In embodiments, a method includes accessing a real-time text-based discourse session comprised of multiple text-based posts published by participants, the posts including a question from an author and responses from at least one respondent; determining relationships between words in the text-based discourse session utilizing corpus linguistics analysis; determining a frequency of the responses of the at least one respondent over time; determining an evasiveness score for each of the responses based on natural language processing of the responses, wherein each of the evasiveness scores indicate a level of relevance of a response with respect to the question; determining rankings for each of the responses based on the determined relationships of words, the frequency of the responses, and the evasiveness scores; and determining a display order for the responses based on the rankings of the responses.

Abstract: A topic being discussed by a presenter during a presentation is determined, where the presentation relates to a software application. A software object of the software application that is associated with the topic is identified. The software object is located at a position of a screen of a user that is consuming the presentation. The software object is located at this position as a result of the software object being graphically generated on a local instance of the software application. An indication for the software object at the first position on the local screen is graphically generated.

Abstract: A connectivity state of a communication platform on a plurality of user devices is identified. The plurality of user devices includes a first and second user device. A message from the first user device that is directed to the second user device regarding the connectivity state is detected. In response to detecting the message, an indication of the connectivity state is provided to the first user device.

Abstract: A system for receiving a corpus of sign language data in which a plurality of known signs each correspond to known meanings, generate a model for identifying new sign language signs using the corpus, and identifying, using the model, a new sign language sign that does not match any of the plurality of known signs.

Abstract: A topic being discussed by a presenter during a presentation is determined, where the presentation relates to a software application. A software object of the software application that is associated with the topic is identified. The software object is located at a position of a screen of a user that is consuming the presentation. The software object is located at this position as a result of the software object being graphically generated on a local instance of the software application. An indication for the software object at the first position on the local screen is graphically generated.

Abstract: In an approach to dynamic mute control for web conferencing, one or more computer processors detect a start of a collaborative meeting. One or more computer processors receive a request enable a dynamic mute feature for a microphone associated with a device of a user. One or more computer processors mute the microphone. One or more computer processors monitor the collaborative meeting to derive context. One or more computer processors determine a request for the user to participate in the collaborative meeting. One or more computer processors calculate an unmute confidence score based on the derived context.

Abstract: Embodiments of the present disclosure include a method for preventing attacks of audio-based virtual assistants, a system, and a computer program product. One embodiment of the method may comprise receiving an audio command at a first Internet-of-Things (IoT) device in a location, analyzing the audio command using one or more other IoT devices in the location, and performing an ameliorative action in response to an anomaly identified during the analyzing. The analyzing may include comparing the audio command received by the first IoT device to audio received by the one or more other IoT devices. The comparing may comprise computing a relative volume level. The comparing may further comprise computing an audio delay.

Abstract: In an approach to facilitating data transmission utilizing peer-to-peer communications and wireless ad hoc networks, one or more computer processors detect one or more data transmission failures. The one or more computer processors rank the one or more detected data transmission failures. The one or more computer processors detect one or more subsequent devices. The one or more computer processors determine one or more statuses associated with the detected one or more subsequent devices. The one or more computer processors the one or more detected subsequent devices based on the determined the determined statuses. The one or more computer processors match the one or more ranked data transmission failures with the one or more ranked subsequent devices. The one or more computer processors transmit the one or more data transmission failures with one or more matched subsequent devices.

Abstract: A computer-implemented method for re-notifying a user about a previous notification is disclosed. The computer-implemented method includes determining a baseline notification rate of the user. The computer-implemented method further includes determining whether the user's current notification rate exceeds a predetermined threshold with respect to the baseline notification rate. The computer-implemented method further includes determining, in response to the user's current notification rate exceeding the predetermined threshold, whether renotification of a notification is required. The computer-implemented method further includes re-notifying, in response to determining that renotification of the notification is required, the user about the notification.

Abstract: A machine learning model repeatedly scans data exhaust for workstations (for which there are retention requirements regarding data exhaust) over a period of time. The machine learning model analyzes the respective data exhaust and the retention requirements to determine respective data exhaust logging parameters for each workstation. The machine learning model monitors respective data exhaust activity for each workstation over a subsequent period of time. An instance is identified in which logging activity of data exhaust for an identified workstation fails the retention requirements. An ameliorative action designed to satisfy the respective retention requirements for the identified workstation is executed.

Abstract: An approach is provided that gathers customer metadata that pertains to the customer's physical assets. This metadata is compared to digital twin metadata that is stored in a digital twin marketplace. Results of the comparison are displayed on the display. The customer makes a selection from the display of one a digital twin template that matches one of the customer's physical assets. The customer then uses the selected digital twin to monitor the matched customer physical asset.

Abstract: One or more computer processors detect a physical storage device within a visual proximity to a user within an augmented reality (AR) environment. The one or more computer processors capture one or more physical identifiers of the detected physical storage device. The one or more computer processors identify an indexed filesystem associated with the physical storage device utilizing the one or more captured physical identifiers, wherein the indexed filesystem contains metadata representing file content stored on the physical storage device. The one or more computer processors calculate a filesystem risk score associated with the physical storage device utilizing the identified physical identifiers. The one or more computer processors present generated graphics representing the indexed filesystem and the calculated filesystem risk score to the user within an AR viewport.

Abstract: Disclosed embodiments provide techniques for virtual reality enabled activity allocation. A camera system monitors a physical environment from multiple angles, generating real-time video feeds of the physical environment. A real-time virtual reality environment (RTVRE) rendering system utilizes the real-time video feeds as input to create a virtual reality environment that is representative of the physical environment. A user performs an action in the virtual environment that corresponds to a task to be performed in the physical environment. A computer-implemented virtual reality control management system assesses the task and assigns the task to an electromechanical device that is best-suited to perform the task, based on a scoring algorithm. This enables actions such as remote monitoring and control of a premises. Thus, disclosed embodiments improve the technical field of remote monitoring and control of a premises.

Abstract: An intent to return a product from a recipient that includes information about the product is received. An optimal social media influencer is selected from a plurality of social media influencers, based on the product information and the location of the product recipient, and information and location associated with respective influencers of the plurality of social media influencers. An agreement document is sent to the selected optimal social media influencer, and the agreement includes terms for the influencer to provide a posting of an activity associated with the product on a social media platform. In response to receiving a response accepting the agreement document, delivery information that includes a destination associated with the selected social media influencer is generated, and the delivery information associated with the selected optimal social media influencer is sent to the recipient of the product from which a shipping label can be printed.

Abstract: Embodiments of the present invention provide computer-implemented methods, computer program products and computer systems. Embodiments of the present invention can, in response to receiving a request, identify a core component from source material based on topic analysis. Embodiments of the present invention can then generate three-dimensional representations of physical core components associated with the request. Finally, embodiments of the present invention then render the generated three-dimensional representations of the physical core components over the physical core components.

Abstract: Techniques are described with respect to facilitating client ergonomic support. An associated method includes receiving a plurality of posture datapoints associated with multiple clients and constructing a machine learning knowledge model based upon the plurality of posture datapoints in order to identify a plurality of predefined ergonomic support design elements. The method further includes receiving client-specific posture datapoints associated with a first client and analyzing, via the machine learning knowledge model, the client-specific posture datapoints in view of the plurality of posture datapoints in order to select an initial ergonomic support design element among the plurality of predefined ergonomic support design elements. The method further includes facilitate printing of the initial ergonomic support design element for a seat component associated with the first client.

Abstract: Provided are a computer program product, system, and method for setting timers based on processing of communications using natural language processing. A communication is detected from a communicating participant transmitted within a group communication session implemented in a computer network in which the communicating participant is communicating with an additional participant through the group communication session. A natural language processor (NLP) module processes the detected communication to determine words comprising an expressed temporal commitment of the communicating participant. The expressed temporal commitment does not express a computer implemented command verb to perform an operation related to setting a time variable. A timer is set, in a computer user interface of the additional participant, to a time value based on the expressed temporal commitment in the detected communication.