Abstract: A method, computer system, and computer program product for mapping an intent to an action of a user in augmented reality procedures is provided. The present invention may include receiving a user activity from the user and monitoring the received user activity. The present invention may further include matching a concept with the monitored user activity, wherein the matched concept is extracted from an intent database. The present invention may further include identifying a task. The present invention may then include presenting a decision tree, from an intent database, wherein the decision tree comprises a plurality of intended steps to be performed by the user to complete a desired action. The present invention may also include, in response to determining that the user successfully performed an intended step within the plurality of intended steps, presenting a next intended step from the plurality of intended steps from the decision tree.

Abstract: Embodiments of the present invention provide methods for generating an augmented reality experience based on Knowledge Media. One method can include receiving one or more Knowledge Media. Transforming the one or more Knowledge Media into consumable steps. Extracting hardware information from the one or more Knowledge Media. Generating a three-dimensional point cloud model of the hardware based on the one or more Knowledge Media, and outputting an augmented reality experience based on an annotated three-dimensional point cloud model.

Abstract: A method, computer system, and a computer program product for intelligently generating an augmented reality (AR)-assisted repair guidance for a user is provided. The present invention may include detecting a scan of an object. The present invention may then include filtering one or more pose-controlled video frames. The present invention may also include extracting at least one new image feature by utilizing a convolutional neural network (CNN) based on the filtered one or more pose-controlled video frames. The present invention may also include aggregating a plurality of visual information associated with the object by utilizing the CNN, wherein the extracted at least one new image feature is included in the aggregated plurality of visual information. The present invention may further include presenting three dimensional (3D) animated instructions to the user, wherein the 3D animated instructions include an AR-assisted repair guidance for the object.

Abstract: A method includes obtaining, from a service management database, one or more change tickets and one or more incident tickets relating to an information technology infrastructure, defining one or more change-incident pairs based on linkages between the incident tickets and the change tickets, identifying, from the change-incident pairs, one or more dimensions affecting outcomes of implementation of one or more change types, generating at least one recommendation for altering implementation of subsequent changes of a given change type to the information technology infrastructure based on the identified dimensions, applying the at least one recommendation to the implementation of one or more subsequent changes of the given change type to configuration items in the information technology infrastructure, monitoring the information technology infrastructure to determine outcomes of the subsequent changes of the given change type, and modifying the at least one recommendation responsive to the monitoring.

Abstract: A component of an environment having available bandwidth for performing a task is located. Authorization to connect a device associated with the task to the component is granted. In response to determining that a set of one or more conditions are met, the device is connected to the component. The connection provides network connectivity to the device via the component.

Abstract: A component of an environment having available bandwidth for performing a task is located. Authorization to connect a device associated with the task to the component is granted. In response to determining that a set of one or more conditions are met, the device is connected to the component. The connection provides network connectivity to the device via the component.

Abstract: A method, computer system, and computer program product for mapping an intent to an action of a user in augmented reality procedures is provided. The present invention may include receiving a user activity from the user and monitoring the received user activity. The present invention may further include matching a concept with the monitored user activity, wherein the matched concept is extracted from an intent database. The present invention may further include identifying a task. The present invention may then include presenting a decision tree, from an intent database, wherein the decision tree comprises a plurality of intended steps to be performed by the user to complete a desired action. The present invention may also include, in response to determining that the user successfully performed an intended step within the plurality of intended steps, presenting a next intended step from the plurality of intended steps from the decision tree.

Abstract: Embodiments of the present invention provide methods for generating an augmented reality experience based on Knowledge Media. One method can include receiving one or more Knowledge Media. Transforming the one or more Knowledge Media into consumable steps. Extracting hardware information from the one or more Knowledge Media. Generating a three-dimensional point cloud model of the hardware based on the one or more Knowledge Media, and outputting an augmented reality experience based on an annotated three-dimensional point cloud model.

Abstract: A component of an environment having available bandwidth for performing a task is located. Authorization to connect a device associated with the task to the component is granted. In response to determining that a set of one or more conditions are met, the device is connected to the component. The connection provides network connectivity to the device via the component.

Abstract: A method includes obtaining, from a service management database, one or more change tickets and one or more incident tickets relating to an information technology infrastructure, defining one or more change-incident pairs based on linkages between the incident tickets and the change tickets, identifying, from the change-incident pairs, one or more dimensions affecting outcomes of implementation of one or more change types, generating at least one recommendation for altering implementation of subsequent changes of a given change type to the information technology infrastructure based on the identified dimensions, applying the at least one recommendation to the implementation of one or more subsequent changes of the given change type to configuration items in the information technology infrastructure, monitoring the information technology infrastructure to determine outcomes of the subsequent changes of the given change type, and modifying the at least one recommendation responsive to the monitoring.

Abstract: A method includes obtaining, from a service management database, one or more change tickets and one or more incident tickets relating to an information technology infrastructure, defining one or more change-incident pairs based on linkages between the incident tickets and the change tickets, identifying, from the change-incident pairs, one or more dimensions affecting outcomes of implementation of one or more change types, generating at least one recommendation for altering implementation of subsequent changes of a given change type to the information technology infrastructure based on the identified dimensions, applying the at least one recommendation to the implementation of one or more subsequent changes of the given change type to configuration items in the information technology infrastructure, monitoring the information technology infrastructure to determine outcomes of the subsequent changes of the given change type, and modifying the at least one recommendation responsive to the monitoring.

Abstract: A method comprises obtaining, from a service management database, one or more change tickets and one or more incident tickets relating to an information technology infrastructure, extracting, from the change tickets and the incident tickets, one or more dimensions indicating potential causality between one or more changes and one or more incidents, identifying configuration items of the information technology infrastructure associated with the one or more changes and the one or more incidents, defining one or more linkages between the one or more changes and the one or more incidents, storing, in the service management database, the defined linkages, building a risk assessment model using the defined linkages, and monitoring subsequent changes to the information technology infrastructure using the risk assessment model.

Abstract: A method includes obtaining, from a service management database, one or more change tickets and one or more incident tickets relating to an information technology infrastructure, defining one or more change-incident pairs based on linkages between the incident tickets and the change tickets, identifying, from the change-incident pairs, one or more dimensions affecting outcomes of implementation of one or more change types, generating at least one recommendation for altering implementation of subsequent changes of a given change type to the information technology infrastructure based on the identified dimensions, applying the at least one recommendation to the implementation of one or more subsequent changes of the given change type to configuration items in the information technology infrastructure, monitoring the information technology infrastructure to determine outcomes of the subsequent changes of the given change type, and modifying the at least one recommendation responsive to the monitoring.

Abstract: According to one embodiment of the present invention, a method is provided in which a first ordinal data set is received and analyzed to construct one or more models that describe informativeness of data in the first ordinal data set in predicting a first measured outcome of one or more projects associated with the first ordinal data set. A second ordinal data set is received, and a second measured outcome of a project associated with the second ordinal data set is predicted based, at least in part, on the one or more models.

Abstract: Web navigation pattern histories are used to navigate to a plurality of visited web sites. A navigation map is generated comprised of a node for each visited web site. Each node in the navigation map is connected by an edge to at least one other node in the navigation map, and the edge is associated with the link from the given visited web site to the next web site. For each visited web site, the corresponding node stores an address for the given web site, a relevance rating for the given visited web site, a link from the given visited web site to a next web site and optionally a title of the web site. A presentation of a node in the navigation map is based on the relevance rating. A plurality of navigation maps for a plurality of users can be merged by identifying navigation maps having similar search goals.

Abstract: Web navigation pattern histories are used to navigate to a plurality of visited web sites. A navigation map is generated comprised of a node for each visited web site. Each node in the navigation map is connected by an edge to at least one other node in the navigation map, and the edge is associated with the link from the given visited web site to the next web site. For each visited web site, the corresponding node stores an address for the given web site, a relevance rating for the given visited web site, a link from the given visited web site to a next web site and optionally a title of the web site. A presentation of a node in the navigation map is based on the relevance rating. A plurality of navigation maps for a plurality of users can be merged by identifying navigation maps having similar search goals.

Abstract: A method for predicting risks for information technology service contracts includes calculating a probability of occurrence of each target risk in a target contract; constructing clusters of root causes observed in historical contracts similar to the target contract, for each of the clusters, identifying root causes that co-occur with target contract risks by searching each cluster for root causes of similar historical contract risks such that the identified root causes represent additional new contract risks, and calculating the probability of occurrence of each new target risk identified for the target contract based on root causes identified in the similar historical contract risks. Two root causes are in the same cluster if both root causes occur in one or more contracts in the set of historical contracts, where two root causes co-occur if both root causes are in the same cluster.

Abstract: A selection parameter is applied to a set of risk assessment data and corresponding performance measure data for a completed, or active, project that is similar to a proposed project. Certain combinations of the risk assessment data and corresponding performance measure data are selected for training an optimal predictive model. The predictive model is applied to available data of a proposed project for predicting associated risks, or outcomes, of the proposed project.

Abstract: A method for predicting contract renewal ahead of contract expiration includes receiving comments and interview transcripts by a sentiment analysis program to generate sentiments, where the comments and interview transcripts are received from a plurality of clients who are contractees to one or more service contracts, combining the sentiments with contract assessment survey scores and historical renewal and growth data for the service contracts to generate a contract renewal and growth prediction model, providing a contract that is up for expiration to the predictive model, and providing the comments, interview transcripts, and risk assessment survey scores to the predictive model, where the predictive model outputs a prediction of renewal and growth for the contract up for expiration, and an analysis of root causes for the predictions.

Abstract: A method for predicting and quantifying risk in information technology (IT) service contracts includes comparing features of a new IT service contract with similar features from one or more previous IT service contracts selected from a plurality of previous IT service contracts to calculate a similarity value between each pair of the new IT service contract and one of the one or more previous IT service contracts, aggregating the similarity values, and using the aggregated similarity values with a prediction model to predict risk factors affecting the new IT service contract and to quantify an impact of each predicted risk factor on an expected gross profit margin.