Abstract: A data collection method including collecting, by a configuration collector manager, configuration data, including configuration properties, from a plurality of data sources, creating, by a model discovery component, a business application model using the configuration data collected by the configuration collector manager, a collecting, from a business application model analysis user interface, edits and confirmations associated with the business application model, and a analyzing, by a feedback analyzer component, the edits and confirmations associated with the business application model and prioritizing the configuration properties based on the data sources and the edits and confirmations associated with the business application model.

Abstract: Techniques facilitating maintenance of tribal knowledge for accelerated compliance control deployment are provided. In one example, a system includes a memory that stores computer executable components and a processor that executes computer executable components stored in the memory, wherein the computer executable components include a knowledge base generation component that generates a knowledge graph corresponding to respective commitments created via tribal exchanges, the knowledge graph comprising a semantic level and an operational level; a semantic graph population component that populates the semantic level of the knowledge graph based on identified parties to the respective commitments; and an operational graph population component that populates the operational level of the knowledge graph based on tracked status changes associated with the respective commitments.

Abstract: A method and system are provided. The method includes analyzing, by a hardware processor, one or more images to determine cognitive characteristics related to the one or more images and to a user. The method further includes forming, by the hardware processor, a composable template relating to the cognitive characteristics. The method also includes performing, by the hardware processor or another hardware processor, an amelioration action with respect to a displaying on a display device of at least one image from the one or more images, based on the composable template. The amelioration action is selected from a set of amelioration actions that include transmitting the at least one image to the disturbing image repository.

Abstract: A system, method and program product for implementing a terms of service (ToS) platform. A system is provided that includes a resource tracking system for storing and updating a ToS for a resource according to a defined format in a blockchain; a detector system for detecting transactions associated with the resource; a system for validating a detected transaction relative to the ToS; and a system for composing and storing details associated with the detected transaction in the blockchain.

Abstract: Information relating to at least one of a user and a user environment is acquired. A user cognitive state is determined based on the acquired information. A graphical control element is automatically configured based on the user cognitive state. The graphical control element is automatically presented on a display interface of a user device to control viewing of content displayed on the user device.

Abstract: A content delivery method, system, and non-transitory computer readable medium, include determining an attentiveness factor in response to viewing of a media content and replaying the media content starting from a point that the attentiveness factor is determined to be less than a predetermined threshold.

Abstract: Various embodiments provision resources of a large-scale enterprise network for a first user. The large-scale enterprise network has a multiplicity of resources and users. The actions of users of the network are monitored to determine resource usage history and current resource usage of all resources for each user. A resource usage frequency is determined for all resources used by the first user. A set of related users is created by identifying users grouped with the first user in a common user group. At least one resource usage configuration for the first user is predicted based on the resource usage history, current resource usage, and resource usage frequency of the first user and resource usage history and current usage of each of the related users. A computing device of the first user is provisioned according to the predicted resource usage configuration.

Abstract: A content delivery method, system, and non-transitory computer readable medium, include a media playback device configured to play media content, a determination device configured to determine a cognitive state of a user in response to viewing of the media content, and an action device configured to perform an action regarding a progression of the media content played by the playback device based on the cognitive state determined by the determination device.

Abstract: Technical features are described for generating a virtual reality (VR) memory recast. An example computer-implemented method includes selecting an event from a plurality of recorded events to animate. The method further includes generating an animation script based at least in part on captured information of the event. The method further includes editing the animation script by adding a simulated interaction in the animation script. The method further includes displaying a virtual reality representation of the animation script.

Abstract: A pseudo-sentient doll override method, system, and non-transitory computer readable medium for a doll, include an interaction level determining circuit configured to determine an interaction level between a user and the doll and a reminder triggering circuit configured to trigger a reminder to the user that the doll is not sentient based on the interaction level associated with a set of rules.

Abstract: A system for managing cloud-based resources. The system includes a computer interface for receiving a computing resource. A computer including at least one central processing unit is configured to determine that the computing resource is abandoned and, upon determining the computer resource is abandoned, determine a disposition action for the computing resource.

Abstract: The present invention provides a method, system, and computer program product of an intelligent self-service delivery advisor. In an embodiment, the present invention includes, in response to receiving computer system service data, identifying, by a second computer system, a computer system service category among a plurality of computer system categories, identifying, by the second computer system, one or more computer system service tasks, based on the computer system service data and the computer system service category, selecting, by the second computer system, a catalog among a plurality of catalogs, based on the one or more computer system service tasks and the computer system service data, generating, by the second computer system, one or more suggestions based on the catalog and the one or more computer system service tasks; and displaying, displaying by the second computer system, the one or more suggestion on a display logically coupled to the computer system.

Abstract: A computer device may identify an interaction device that is capable of outputting a simulation representative of an identified aspect of an entity. The computer device may trigger the identified interaction device to output a simulation of the identified aspect.

Abstract: A mobile electronic device such as a smartphone is used in conjunction with a deep learning system to detect and respond to personal danger. The deep learning system monitors current information (such as location, audio, biometrics, etc.) from the smartphone and generates a risk score by comparing the information to a routine profile for the user. If the risk score exceeds a predetermined threshold, an alert is sent to the smartphone which presents an alert screen to the user. The alert screen allows the user to cancel the alert (and notify the deep learning system) or confirm the alert (and immediately transmit an emergency message). Multiple emergency contacts can be designated, e.g., one for a low-level risk, another for an intermediate-level risk, and another for a high-level risk, and the emergency message can be sent to a selected contact depending upon the severity of the risk score.

Abstract: An approach includes contacting a predefined contact information when a mobile device, which is password protected, is lost and subsequently found. The approach includes receiving an activation event predefined for a specified password protected mobile device, and receiving predefined contact information stored in the mobile device while the mobile device remains password protected, upon the receipt of the activation event.

Abstract: A method and system of processing an information technology (IT) electronic request is provided. The electronic request is received in natural language from a user. Parameters of the electronic request are extracted. A risk of the electronic request is determined. A policy based on the parameters and the risk of the electronic request is determined and executed. A level of trust between the user and the computer device is calculated based on the determined risk and an outcome of the execution of the policy. A conversation pattern of the computer device toward the user is adjusted based on the calculated level of trust.

Abstract: Performing a risk-aware transformation of a service management stack during workload migration is provided. A set of workloads for migration from a source environment to a target environment is identified in response to receiving a request to migrate the set of workloads. The migration of the set of workloads is initiated from the source environment to the target environment. A service management stack configuration transformation from a service management stack configuration corresponding to the source environment to a set of service management stack configurations corresponding to the target environment is performed based on semantic matching between functions of the service management stack configuration corresponding to the source environment and functions of the set of service management stack configurations corresponding to the target environment, a state of the source environment, service management stack configuration transformation actions, and a goal state of the target environment.

Abstract: An embodiment of the invention provides a system and method for risk-aware multiple factor authentication based on pattern recognition and calendar. Recent activity performed by the user can be obtained from data sources and stored in a user transaction database. An interface can receive a login name from a user; and, a processor can select one or more security questions regarding the recent activity performed by the user. The interface can receive an answer to the security question(s) from the user; and, the processor can determine whether the answer(s) matches data stored in the user transaction database and is associated with the login name of the user.

Abstract: A processor-implemented method, system, and/or computer program product alter a template used to display content on a user interface. One or more processors receive a transmission from the one or more hardware devices that describes a current cognitive state of a user. The processor(s) receive content to be presented to the user on a user interface, and identify template components that are appropriate for presenting the content to the user based on the current cognitive state of the user. The processor(s) alter an initial template used to present the content, such that altering the initial template creates an altered template, and where the altered template uses the template components that are determined to be appropriate for presenting the content to the user based on the current cognitive state of the user. The processor(s) then present the content on the user interface using the altered template.

Abstract: A method for providing recommendations to a care provider includes receiving, by a monitoring system, environmental information regarding an environment in which a care provider is providing care to a recipient. The environmental information includes interaction data regarding interactions between the care provider and the recipient and entity data regarding entities in the environment. The method includes applying analytic analysis to the environmental information to generate input to a machine learning model. The input includes first features indicative of aspects of the interactions and second features indicative of one or more relations between the entities. The method includes determining a recommendation for the care provider that is predicted to facilitate achieving a goal associated with the recipient by applying the machine learning model to the input. The method includes providing the recommendation by the monitoring system to the care provider.