International Business Machines Corporation

Kyndryl, Inc.

Natalie Brooks Powell

Evelyn R Anderson

Martin G Keen

Kristen Conley

Michael Bender

Sarbajit Kumar Rakshit

Jeremy R Fox

Ho-Yiu Lam

David Charles Martin

Michael Boone

Timothy T Bohn

Gary W Crupi

Sandhya ReddyVeera

Shikhar Kwatra

Yuk Lung Chan

Heidi L Lagares-Greenblatt

Sergio E Ascencio Rios

Apurv R Johar

Gregory J Boss

Craig M Trim

Aaron K Baughman

Vijay Ekambaram

Rhonda L Childress

Vinod A Valecha

Nader M Nassar

Tamer M Nassar

Atul Mene

Dennis Anthony Perpetua, Jr

Murali Vridhachalam

Joseph Michael Ziskovsky

Kedar Daptardar

Tami Rose Bryan

Bobbi Davitt

Tansel Zenginler

Nisarg Negi

Matthew E Dirks

Leah Michelle Camp

Hardware and software on a computing device is analyzed based on a regulatory profile for the computing device and regulatory compliance for an entity associated with the computing device. A determination is made whether at least one of the hardware and software on the computing device includes at least one regulatory non-compliance issue. In response to determining that at least one of the hardware and software on the computing device includes at least one regulatory non-compliance issue, one or more scripts are executed on the hardware and software on the computing device to cause the hardware and software to resolve the at least one regulatory non-compliance issue based on the regulatory profile for the computing device.

Remediation of regulatory non-compliance

Aspects of the present disclosure relate to context based saving of content. A set of conditions for automatically saving content for a user currently engaged with savable content can be received. A current context of the user currently engaged with savable content can be determined. The current context of the user can be compared to the set of conditions to determine whether automatically saving the savable content should be completed. The savable content can be automatically saved in response to determining that automatically saving the savable content should be completed.

Context-based saving of data

An embodiment includes retrofitting an existing control device with an automation panel that senses manual actuation of a control element of the control device, and automatically actuates the control element in response to a specified control signal. The embodiment collects state data indicative of an actuation state of the control element and context data of conditions at a time that the state data is collected, and generates a training dataset comprising collected state data and sensor data. It then uses this data to train a classification model to predict a control element actuation state based on sensor data. The embodiment deploys the trained classification model to process sensor data and upon detecting a mismatch between a predicted actuation state output from the trained classification model and an actual actuation state of the control element, the embodiment transmits the specified control signal to the automation panel to actuate the control element.

Cognitive retrofit for legacy control devices

Embodiments of the present invention provide computer-implemented methods, computer program products, and computer systems. Embodiments of the present invention can dynamically determine an optimal embedded subscriber identification module (eSIM) configuration of respective edge devices connected to a network. Embodiments of the present invention can then dynamically change a data plan associated with the eSIM of respective edge devices connected to the network such that activity can be executed with required quality by the respective edge devices based on contextual need of data processing, volume of data transfer, and speed of data transfer among the respective edge devices.

Dynamic embedded-sim configuration

Provided are a computer program product, system, and method for ranking action sets comprised of actions for an event to optimize action set selection. Information is maintained on actions for a plurality of events. Each action indicates an action value of the action to the user and event weights of the action with respect to a plurality of the events. A determination is made of actions sets having at least one action to perform for the event. For each determined action set, a rank of the action set is calculated as a function of the action value for each action in the action set and an event weight of the action with respect to the event. At least one action set is presented to the user for consideration. In response to receiving user feedback, an adjusted rank is set for at least one of the presented action sets.

Ranking action sets comprised of actions for an event to optimize action set selection

Methods and systems may provide for technology to recognize features of current content to be shared by a current user, determine a plurality of platforms that allow access to data by other users and select one or more of the plurality of platforms to store the current content based on the recognized features.

Cognitive matching of content to appropriate platform

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 to perform an update, identify priorities of pending activities. Embodiments of the present invention can then determine a downtime duration associated with the update. Embodiments of the present invention can then determine an optimal time to perform the update based, at least in part, on the determined downtime duration and the pending activities.

Activity-aware update management

A method, computer system, and computer program product for AI-enabled application notification mute management is provided. The embodiment may include generating a communication corpus from real time data. The embodiment may also include identifying a current activity level for a user. The embodiment may further include receiving a new communication from an application. The embodiment may also include calculating a priority value for the received communication. The embodiment may further include determining whether to mute a notification transmission of the received communication to the user based on the calculated priority value and the generated communication corpus. The embodiment may also include, in response to determining to mute the notification transmission; muting the notification.

Generative notification management mechanism via risk score computation

Embodiments of the present invention provide methods, computer program products, and systems. Embodiments of the present invention can create an authentication mechanism for communication services utilizing a distributed recording system. Embodiments of the present invention can then, in response to receiving a request to connect with a device, utilize the created authentication mechanism to connect with or prevent connection with the device.

Managing phone identification via immutable connection verification

In an approach to managing obfuscation of regulated sensitive data, one or more computer processors detect content for display on a computing device. One or more computer processors analyze the content for sensitive data. One or more computer processors retrieve one or more applicable regulations, where the regulations are associated with displaying sensitive data. One or more computer processors determine a location on the display for obfuscating the sensitive data in the content, based on the retrieved one or more applicable regulations. One or more computer processors identify one or more context rules applicable to the sensitive data in the content. One or more computer processors determine the one or more context rules override the one or more applicable regulations. One or more computer processors display the sensitive data in the content.

Managing obfuscation of regulated sensitive data

Aspects of the present invention disclose a method for improved directional information. The method includes one or more processors identifying one or more images of a location corresponding to a destination of a set of navigational instructions. The method further includes determining respective ratings for the identified one or more images based on crowd sourced ratings of the identified one or more images from individuals that have previously travelled to the destination. The method further includes determining an entrance location for the destination based on the crowd sourced ratings of the identified one or more images. The method further includes determining at least one image, of the one or more images, that depicts the determined entrance location. The method further includes generating directional information to the entrance location by overlaying directional information on the determined at least one image that provides an indication of the determined entrance location.

Enhanced endpoint directions in a mapping program

Activity-related relevance processing of an electronic message includes receiving, by a processor(s) user-related data indicative of a current activity of a user, and parsing, by the processor(s), content of the electronic message for an electronic device of the user. The parsing includes using natural language processing of the electronic message. An activity-related relevance of the electronic message to the user is determined, by the processor(s), based on the user-related data and the parsed content of the electronic message. Based at least in part on the determined activity-related relevance, the electronic message is processed for the user's electronic device.

Activity-related relevance processing of electronic message(s)

Ingesting user information from one or more forms of electronic communication. Parsing the ingested user information. Based on the parsed user information, one or more trigger words are determined. Receiving monitored audio of a surrounding environment. Transcribing the monitored audio into a textual format. Parsing the transcribed text. Identifying one or more trigger words. Determining a context of the one or more trigger words. Determining the context satisfies a user criteria. Translating the monitored audio in real-time.

Natural language processing contextual translation

Embodiments of the present invention provide techniques for identifying and quantifying waste in a process. Waste information is input via images and/or natural language. The amount of waste is estimated based on information in images and/or a natural language description. A computer-implemented technique extracts metadata on waste products from the images and/or natural language description. A variety of factors such as social media trends, weather, traffic, and/or sports schedules are evaluated by the computer and used in predicting the amount of waste that will occur.

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Bolingbrook, IL, United States of America

Natalie Brooks Powell