Abstract: Systems, methods, and computer program products for a cognitive personalized channel on a computer network or telecommunications network, such as a 5G mobile communication network, which can be used for medical purposes to assist color-blind users and people afflicted with achromatopsia. The personalized channel can be a bidirectional channel capable of identifying color and serve as an enhanced medical service. The service operates by collecting collects inputs and streaming data, creates situation-based tags and embeds the tags on human-readable displays to assist users understanding of additional context of the streaming data that might otherwise not be understood due to the user's medical condition. The systems, methods and program products use the embedded tags to create a manifestation of the colors in images, videos, text and other collected visual streams by taking advantage of end-to-end service orchestration provided by 5G networks.

Abstract: According to a computer-implemented method, a chat data set is received, which chat data set includes information indicative of a plurality of natural language chat transcripts of chats that occurred between a virtual agent and a human. Machine logic analyzes the chat data set to identify an error that occurred in the operation of the virtual agent. The machine logic updates a chat model based on the chat data set.

Abstract: According to a computer-implemented method, a virtual agent log data set is received which log data set includes information indicative of operation of a virtual agent. Machine logic analyzes the virtual agent log data set to identify an error that occurred in the operation of the virtual agent. The machine logic also determines an error correction for correcting conditions in the virtual agent that resulted in the error. The error correction is sent to the virtual agent.

Abstract: Multi-turn conversation systems that are personalized to a user based on insights derived from big data are described. A computer-based conversation system for interacting with a user includes: a CPU, a computer readable memory, and a computer readable storage medium associated with a computer device; and program instructions defining a statement and question framer that is configured to: obtain insights about a user from a big data engine; and generate a response to an input from the user based on the insights and the input. The program instructions are stored on the computer readable storage medium for execution by the CPU via the computer readable memory.

Abstract: Multi-turn conversation systems that are personalized to a user based on insights derived from big data are described. A method includes: receiving, by a computer device, input from a user; obtaining, by the computer device, insights about the user; generating, by the computer device, a response based on the insights and the input; and outputting, by the computer device, the response.

Abstract: Aspects of the present invention provide a negotiative chat bot that executes a back-end security process to resolve a status of a suspicious input as safe or unsafe; creates conversational chat bot messages that request content subject matter in response that are different from content of the suspicious request or chat bot message responses from the identified user; and generate and present conversational chat bot messages that present created conversational chat bot message content in a style that matches a preferred conversational style of the identified user. Aspects iteratively repeating presenting conversational chat bot messages requesting subject matter content different from subsequent conversational chat bot message responses in the style that matches the preferred conversational style, until determining that the suspicious input status is resolved.

Abstract: Embodiments for managing a wireless communication network by one or more processors are described. The presence of a plurality of mobile electronic devices within a wireless communication network is detected. A device-to-device (D2D) connectability score for each of the plurality of mobile electronic devices is calculated. The calculating of the D2D connectability score for each of the plurality of mobile electronic devices is based on a security posture of the respective mobile electronic device, a privacy posture of the respective mobile electronic device, or a combination thereof. A signal representative of the calculated D2D connectability score for each of the plurality of mobile electronic devices is generated.

Abstract: A method for providing bidding support to a user during an auction using cognitive modeling comprises obtaining data associated with the auction, with the obtained data comprising data associated with at least one bidder. The obtained data is analyzed, and at least one output is generated based on the analysis. The at least one output is sent to at least one device associated with the user. The at least one device is configured to generate at least one alert based on the at least one output, with the at least one alert providing decision support to the user with respect to bidding strategy.

Abstract: A self-learning 5G cognitive emergency-management system responds to a triggering condition by instructing a network to open an ad hoc channel to Internet of Things (IoT) devices associated with a mass assembly of users. The system begins tracking the movements of the assembly members by performing trilateration procedures on each user's IoT device. Using artificial intelligence or cognitive analytics, the system identifies and correlates patterns in the aggregated movements of the assembly with other tracked parameters received from the IoT devices and with contextual information retrieved from extrinsic sources. The system infers aggregated user sentiment from these correlations and determines whether the movements or sentiment suggest that an unexpected event is having an adverse impact on the assembly. If so, the system takes corrective action, such as notifying an emergency-management resource or transmitting information or instructions to the assembly members.

Abstract: Disclosed embodiments provide techniques for restoring an interrupted automated assistance session. Session contexts including pertinent metadata are periodically saved for each session, including a session reentry point. When a user calls an automated response system, metadata is collected from the user and compared with metadata from saved session contexts. If the user is determined to be associated with a saved session context, the user is connected to a conversation starting at the session reentry point, thereby eliminating the need to repeat the entirety of previously provided information.

Abstract: A method, system, and computer program product for identifying intra sentence vague components includes: receiving a first sentence, assigning tokens to each component of the first sentence, comparing a total number of tokens of the first sentence to a threshold number of tokens, in response to determining that the total number of tokens is less than the threshold number of tokens, identifying one or more relevant complete sentences from a database, determining a best sentence from the one or more relevant complete sentences, and determining a vague component of the first sentence by comparing the best sentence to the first sentence.

Abstract: A method and associated system for generating a service specification of a solution. Each process of at least one process is decomposed into at least one atomic service process. The service specification of the solution to be compatible with both a process model framework that includes the at least one process and a data model framework that includes at least one data element that is indirectly matched to the at least one process. The service specification represents a respective process interface of each atomic service process that performs a respective atomic service in the solution. The customized service specification is stored in a database.

Abstract: Automatically structuring communication with a customer support center is provided. A set of user interactions with a mobile device is received. An interactive voice response system is automatically routed through based on the received set of user interactions with the mobile device.

Abstract: Migrating and delivering datasets to mobile Internet of Things (IoT) devices is provided. A time is predicted for delivery of one or more datasets to a target intermediate data delivery destination closest to a current geographic location of a mobile IoT device based on context and type of each detected data delivery event and the current geographic location of the mobile IoT device. The one or more datasets are migrated to the target intermediate data delivery destination closest to the current geographic location of the mobile IoT device according to the predicted time. The one or more datasets are delivered to the mobile IoT device from the target intermediate data delivery destination closest to the current geographic location of the mobile IoT device based on the context and the type of each detected data delivery event that corresponds to a particular dataset in the one or more datasets.

Abstract: Cognitive software and/or machine learning software are monitored in a cognitive computing environment. Open interface management of virtual agent nodes is performed in the cognitive computing environment.

Abstract: A method, system and computer program product are provided for implementing 5G network-based information exchange across Internet of Things (IoT) enabled vehicular devices for amplified dynamic security. A 5G enabled amplified security manager is provided to implement enhanced amplified dynamic security for parked vehicles. The 5G enabled amplified security manager is provided with each enabled parked vehicle providing a 5G ad-hoc network. Information is dynamically collected and exchanged between the 5G enabled amplified security managers. When abnormal behavior is detected based on analysis of the collected data, the abnormal behavior information is sent on the 5G ad-hoc network triggering protective actions in co-ordination with all the devices in the network and provides security amplification.

Abstract: An approach for managing memory usage in cloud and traditional environments using usage analytics is disclosed. The approach may be implemented in a computer infrastructure including a combination of hardware and software. The approach includes determining that space is available within one or more tables which have schema definitions with string fields having a predefined length. The approach further includes creating a virtual table and mapping the available space to the virtual table for population by one or more records.

Abstract: A method, system and computer program product includes receiving information related to a temporal obstruction located within a first small cell of a network, analyzing the information related to the temporal obstruction, determining a change in a range of the first small cell caused by the temporal obstruction, and sending a notification related to the change in the range of the first small cell caused by the temporal obstruction.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: obtaining prediction data that are indicative of media use behaviors of a user over a period of time. Prediction on a pattern of media use behaviors of the user including media content, hours spent on the media content, and the period of time is made. Base on the predicted media use pattern corresponding to a current stage in the period of time, a media use control rule for the user on a controlled device is generated.

Abstract: In an approach to robot vision configuration, one or more computer processors receive a command for image capture by a robot. The one or more computer processors determine one or more cameras of a plurality of cameras to respond to the command. The one or more computer processors configure the one or more cameras to respond to the command.