Abstract: Cognitive routing of an incoming call includes analyzing respective captured audio and video data related to each of a plurality of agents of an enterprise, each agent associated with a respective mobile device; and determining a respective current activity in which each agent is engaged based on the agent's related captured audio and video data. Such routing also includes selecting one of the plurality of agents to receive an incoming call based at least in part on the determined respective current activity in which each agent is engaged; and routing an incoming call to the mobile device associated with the selected one agent.

Abstract: According to embodiments of the present invention, machines, systems, computer-implemented methods and computer program products for retrieving information pertaining to an affinity of a user are provided. In some embodiments, a search query is received from a user. The search query is analyzed to determine a bias of the user. The social media activity of the user is evaluated to determine affinity indicators for the user. Prior searches and selection of search results by the user is evaluated to detect patterns of the user. An affinity of the user is determined based on the bias, affinity indicators, and patterns. Initial search results are generated that satisfy the search query, and the initial search results are filtered based on the determined affinity of the user to produce search results in accordance with the determined affinity of the user.

Abstract: According to embodiments of the present invention, machines, systems, computer-implemented methods and computer program products for retrieving information pertaining to an affinity of a user are provided. In some embodiments, a search query is received from a user. The search query is analyzed to determine a bias of the user. The social media activity of the user is evaluated to determine affinity indicators for the user. Prior searches and selection of search results by the user is evaluated to detect patterns of the user. An affinity of the user is determined based on the bias, affinity indicators, and patterns. Initial search results are generated that satisfy the search query, and the initial search results are filtered based on the determined affinity of the user to produce search results in accordance with the determined affinity of the user.

Abstract: Embodiments for managing call-to-action elements by one or more processors are described. User data is received from at least one data source associated with the user. Based on the user data, a label for a call-to-action element to be rendered by a computing node is determined. A signal representative of the determined label for the call-to-action element is generated.

Abstract: Computer-implemented sending of notifications is disclosed and includes identifying, using natural language understanding and natural language classification, auto-renewing subscription service(s) associated with a user based on content of computing device(s) associated with the user and internet-available sources, the identifying resulting in identified auto-renewing subscription service(s).

Abstract: A method and system for performing a root cause analysis. A central processing unit (CPU) tracks a focal point of a user's eye gaze. The CPU correlates the focal point of the user's eye gaze to a viewing position of a display device displaying a file that includes event data being viewed by the user. The CPU identifies, as a function of the viewing position, events of interest in the event data and an amount of time that the event data is viewed by the user. The CPU outputs, as a function of a linear regression model, an interest score pertaining to one or more events of interest that were previously identified as a function of the user's eye gaze. The interest score is a probability of each identified event of interest being a root cause of a defect.

Abstract: Embodiments for analyzing viewer engagement of online content by one or more processors are described. For each of a plurality of online channels having a piece of content posted thereon, viewer engagement associated with the piece of content and information associated with the posting of the piece of content on the respective online channel is received. The viewer engagement from each of the plurality of online channels is compared to the viewer engagement from the others of the plurality of the online channels. Based on the comparing of the viewer engagement and the information associated with the posting of the piece of content, a correlation between the viewer engagement from each of the plurality of online channels and the information associated with the posting of the piece of content on each of the plurality of online channels is determined. A signal representative of the determined correlation is generated.

Abstract: A method, computer system, and a computer program product for automated smart watch assistance is provided. The present invention may include detecting a distress signal from a sensor of a distressed user device. The present invention may then include broadcasting a cardiopulmonary resuscitation (CPR) request based on detecting the distress signal from the sensor of the distressed user device. The present invention may then include receiving a response to the broadcasted CPR request based on an altered direction of travel of a responding user device. The present invention may finally include establishing a connection between the distressed user device and the responding user device.

Abstract: Embodiments generally relate to management of activity in a collaboration environment. In some embodiments, a method includes monitoring activity characteristics associated with at least one communication channel of a plurality of communication channels, wherein each communication channel enables communication associated with a respective topic. The method further includes determining user information from the activity characteristics, wherein the user information is associated with users who communicate with each other on the at least one communication channel. The method further includes determining timing information from the activity characteristics, wherein the timing information is associated with messages exchanged on the at least one communication channel. The method further includes managing notifications to the users who communicate with each other on the at least one communication channel based at least in part on the user information and the timing information.

Abstract: A computing device determines that a user submits a query. The computing device tracks proximate web activities to the query by the user, determines a topic of the query, and determines a navigation path of the user from the proximate web activities. The computing device calculates a semantic score for the navigation path and associates the semantic score with the user, the topic, and the navigation path. The computing device calculates a threshold score for the topic using a sampling of semantic scores associated with matching topics in an expertise dataset and determines whether the semantic score meets the threshold score. When the semantic score does not meet the threshold score, the computing device performs one or more predetermined actions. An efficient manner of automatically discovering navigation paths used by experts in specific topics is provided, thus requiring less computing time and resources.

Abstract: According to one embodiment, a method, computer system, and computer program product for summarizing and retrieving archived chat conversations is provided. The present invention may include grouping chat texts in chat text search results, in response to receiving a query in a chat text application, according to logical classifications of the chat texts, wherein the logical classifications are based on a plurality of chat text topics, a plurality of metadata associated with the chat texts, or both.

Abstract: Cognitive routing of an incoming call includes analyzing respective captured audio and video data related to each of a plurality of agents of an enterprise, each agent associated with a respective mobile device; and determining a respective current activity in which each agent is engaged based on the agent's related captured audio and video data. Such routing also includes selecting one of the plurality of agents to receive an incoming call based at least in part on the determined respective current activity in which each agent is engaged; and routing an incoming call to the mobile device associated with the selected one agent.

Abstract: Performing electronic communication between a plurality of devices can include determining, using a processor, a required answer time for an electronic message, determining, using the processor, a plurality of expected response times, wherein each expected response time is specific to a recipient of the electronic message and is specific to one of a plurality of different communication channels, and matching, using the processor, the required answer time to an expected response time. Using the processor, a communication channel can be selected from the plurality of different communication channels based upon the matching. Sending of the electronic message to a device of the recipient can be initiated using the selected communication channel.

Abstract: Predicting and notifying availability status of a user may include determining, using a processor, an availability status of a user according to historical data for the user and automatically updating the availability status of the user using the processor.

Abstract: A processor may monitor frequency data related to a user metric of a user during a measurement window. The user metric may relate to the user's use of a computer implemented environment. The processor may simplify the frequency data related to the user metric, resulting in a set of simplified frequency data. The processor may input the set of simplified frequency data into a neural network. The neural network may determine a likelihood of a negative user experience for the user. The processor may alter a parameter of the first user environment based on the likelihood.

Abstract: A cognitive media processing system for selective and adaptive modification of digital content with an audible element. In various examples, the cognitive media processing system obtains digital content and a desired reaction of a plurality of users for when the digital content is displayed on a plurality of user computing devices. The system obtains a plurality of user reaction profiles for the plurality of users. The system determines a first audio file of a plurality of audio files for a first user computing device based on the desired reaction and a first user reaction profile. The system then updates the digital content to include the first audio file to produce first updated digital content and sends the first updated digital content to the first user computing device.

Abstract: An example operation may include one or more of identifying one or more attributes of a blockchain, determining the blockchain should be closed based on the one or more attributes, closing the blockchain, creating a new blockchain, identifying one or more assets from the blockchain, and creating a carry-over transaction based on the one or more assets of the blockchain.

Abstract: A cognitive system and method for optimized video playback. A semantic and sentiment analysis of the video presentation is performed to identify one or more topics, speakers, and sentiments therein. An analysis of at least one viewer is performed to identify the topics, speakers, and sentiments of interest. The topics, speakers, and sentiments are associated with a time-based mapping of the video presentation based on the analysis of the viewer. A navigation aid for the video presentation is generated using the time-based mapping, wherein the navigation aid includes entry and exit pointers to portions of the video presentation that match the viewer's areas of interest. Portions of the video presentation may be recommended and displayed to the viewer using the navigation aid.

Abstract: A method and system for continued influenced threads, and more specifically, for augmenting a thread on a channel based on affinity. Other threads on different channels are monitored by analyzing content being discussed in the threads. An affinity with the other threads is identified, in order to establish an association between the threads, based on the analyzed content, wherein the association may be established by determining whether the analyzed content is shared between the threads. The thread is then modified based on the identified affinity, by copying at least a portion of the other threads.

Abstract: A cognitive system and method for optimized video playback. A semantic and sentiment analysis of the video presentation is performed to identify one or more topics, speakers, and sentiments therein. An analysis of at least one viewer is performed to identify the topics, speakers, and sentiments of interest. The topics, speakers, and sentiments are associated with a time-based mapping of the video presentation based on the analysis of the viewer. A navigation aid for the video presentation is generated using the time-based mapping, wherein the navigation aid includes entry and exit pointers to portions of the video presentation that match the viewer's areas of interest. Portions of the video presentation may be recommended and displayed to the viewer using the navigation aid.