Abstract: A system for asset failure and replacement management is disclosed. The system includes a communication interface and processor(s) configured to: receive an indication that the drone is part of a set of assets, wherein the set of assets are tasked with performing element(s) of task(s), and the set of assets comprises a plurality of drones; determine that at least one drone has experienced a failure; in response to a determination that the at least one drone has experienced the failure, update a plan to an updated plan to perform the task(s); and communicate, via the communication interface, information pertaining to the updated plan, wherein the information pertaining to the updated plan is communicated with at least one remaining drone of the set of assets.

Abstract: A system for generating an environment for an operation using a set of assets includes processor(s) configured to obtain data associated with task(s) to be performed by a set of assets, wherein: 1) the set of assets comprises semi-autonomous drones and 2) the data associated with the task(s) comprises other drone flight plan(s); determine a discretized representation of the geographic location, wherein the discretized representation comprises discrete elements each corresponding to a volume associated with the geographic location; annotate the discretized representation with the other drone flight plan(s) to create an annotated representation; determine a first flight plan of one drone, wherein the first flight plan is determined based on the annotated representation; and communicate information pertaining to the first flight plan to at least one other asset.

Abstract: A system defining an operation using a set of assets is disclosed. A processor(s) is/are configured to: cause a first user interface to be displayed, the first user interface comprising selectable element(s) associated with a characteristic of task(s) to be performed; receive user selection(s) pertaining to the characteristic; in response to receiving the user selection(s) input to the first interface, cause a second user interface to be displayed, wherein: 1) the second user interface is configured based on user selection(s); and 2) the second user interface comprises selectable element(s) associated with a set of asset(s) that include drone(s); receive user selection(s) for an operation; determine the operation to be performed based on (i) the user selection(s) pertaining to the characteristic of the task(s) and (ii) the user selection(s) pertaining to the set of asset(s) to perform the operation; and communicate information pertaining to the operation.

Abstract: A method includes receiving code for computer programming, analyzing the code and extracting a plurality of configuration properties from the code. In the method, one or more configuration files are generated from the extracted plurality of configuration properties, and microservice code is generated from the one or more configuration files. The microservice code is configured for deployment on one or more cloud computing platforms.

Abstract: This disclosure describes techniques for configuring and managing scalable global private networks associated with a service provider. Different input mechanisms, such as an API, a UI, or a CLI may be utilized to configure, and manage a global private network that spans across the cloud in different geographic locations and connects to different stand-alone networks. The user may proactively use the input mechanisms to configure and query different network resources to reactively configure settings for reacting to one or more events. The input mechanisms may also be utilized to define the network resources to be modeled within the global private network as well as connections within the global network. A user may configure events/metrics to be monitored, tasks/workflows to be performed, and the like. In some configurations, a network management service (NMS) may perform health monitoring and reachability monitoring to identify possible issues in the global network.

Abstract: Techniques for recommending a skill experience to a user after a user-system dialog session has ended are described. Upon a dialog session ending, the system uses a first machine learning model to determine potential intents to recommend to a user. The system then uses a second machine learning model to determine a particular skill and intent to recommend. The system then prompts the user to accept the recommended skill and intent. If the user accepts, the system calls the recommended skill to execute. As part of calling the skill, the system sends to the skill at least one entity provided in a natural language user input of the ended dialog session. This enables the skill to skip welcome prompts, and initiate processing to output a response based on the intent and the at least one entity of the ended dialog session.

Abstract: This disclosure describes techniques for configuring and managing scalable global private networks associated with a service provider. Different input mechanisms, such as an API, a UI, or a CLI may be utilized to configure, and manage a global private network that spans across the cloud in different geographic locations and connects to different stand-alone networks. The user may proactively use the input mechanisms to configure and query different network resources to reactively configure settings for reacting to one or more events. The input mechanisms may also be utilized to define the network resources to be modeled within the global private network as well as connections within the global network. A user may configure events/metrics to be monitored, tasks/workflows to be performed, and the like. In some configurations, a network management service (NMS) may perform health monitoring and reachability monitoring to identify possible issues in the global network.

Abstract: An information handling system includes a repository that stores a pre-production validation suite and a production validation suite. The pre-production validation suite includes first validation factors, and the production validation suite includes second validation factors. A processor may deploy an application in a pre-production environment, and validate the application in the pre-production environment using the pre-production validation suite. If the application passes the pre-production validation suite, then the processor may deploy the application in a production environment. The processor also may validate the application in the production environment using the production validation suite, assign a score associated with each one of the first validation factors and each one of the second validation factors, and generate a report based on the score associated with each one of the first validation factors and each one of the second validation factors.

Abstract: An information handling system includes a repository that stores a pre-production validation suite and a production validation suite. The pre-production validation suite includes first validation factors, and the production validation suite includes second validation factors. A processor may deploy an application in a pre-production environment, and validate the application in the pre-production environment using the pre-production validation suite. If the application passes the pre-production validation suite, then the processor may deploy the application in a production environment. The processor also may validate the application in the production environment using the production validation suite, assign a score associated with each one of the first validation factors and each one of the second validation factors, and generate a report based on the score associated with each one of the first validation factors and each one of the second validation factors.

Abstract: A method for determining a measured variable comprises the following steps: a) providing a data record comprising values of a plurality of input variables and values of the measured variable; b) ascertaining correlations between the values of the input variables and the values of the measured variable; c) creating a sensor model on the basis of the ascertained correlations; d) acquiring at least one further value of at least one of the input variables; and e) determining a value of the measured variable on the basis of the at least one further value of at least one of the input variables and the sensor model wherein the values of at least one of the input variables in steps a) and/or e) have been determined, in turn, according to steps a) to e). Further, a sensor system and a gas turbine engine are provided.

Abstract: A method includes generating a model for a content taxonomy using one or more machine learning (ML) techniques. The model comprises a plurality of metadata tags for electronic content. In the method, a plurality of electronic content items are received from a plurality of content management systems, and are analyzed using the one or more ML techniques. The method also includes assigning one or more of the plurality of metadata tags to each of the plurality of electronic content items based on the analysis, and transmitting to the plurality of content management systems via one or more application programming interfaces, a plurality of recommendations comprising which of the plurality metadata tags to apply to the plurality of electronic content items.

Abstract: Methods, systems, and computer-readable media for automated packetless network reachability analysis are disclosed. An analysis is performed of network configuration data for a network comprising a host computer. Based at least in part on the analysis, one or more ports at the host computer that are reachable from another computer are determined. Based at least in part on the analysis, one or more routes to the one or more ports are determined. A report is generated that is descriptive of the one or more ports and the one or more routes.

Abstract: Methods, systems, and computer-readable media for automated packetless network reachability analysis are disclosed. An analysis is performed of network configuration data for a network comprising a host computer. Based at least in part on the analysis, one or more ports at the host computer that are reachable from another computer are determined. Based at least in part on the analysis, one or more routes to the one or more ports are determined. A report is generated that is descriptive of the one or more ports and the one or more routes.

Abstract: This disclosure describes techniques for configuring and managing scalable global private networks associated with a service provider. Different input mechanisms, such as an API, a UI, or a CLI may be utilized to configure, and manage a global private network that spans across the cloud in different geographic locations and connects to different stand-alone networks. The user may proactively use the input mechanisms to configure and query different network resources to reactively configure settings for reacting to one or more events. The input mechanisms may also be utilized to define the network resources to be modeled within the global private network as well as connections within the global network. A user may configure events/metrics to be monitored, tasks/workflows to be performed, and the like. In some configurations, a network management service (NMS) may perform health monitoring and reachability monitoring to identify possible issues in the global network.

Abstract: This disclosure describes techniques for configuring and managing scalable global private networks associated with a service provider. Different input mechanisms, such as an API, a UI, or a CLI may be utilized to configure, and manage a global private network that spans across the cloud in different geographic locations and connects to different stand-alone networks. The user may proactively use the input mechanisms to configure and query different network resources to reactively configure settings for reacting to one or more events. The input mechanisms may also be utilized to define the network resources to be modeled within the global private network as well as connections within the global network. A user may configure events/metrics to be monitored, tasks/workflows to be performed, and the like. In some configurations, a network management service (NMS) may perform health monitoring and reachability monitoring to identify possible issues in the global network.

Abstract: This disclosure describes techniques for configuring and managing scalable global private networks associated with a service provider. Different input mechanisms, such as an API, a UI, or a CLI may be utilized to configure, and manage a global private network that spans across the cloud in different geographic locations and connects to different stand-alone networks. The user may proactively use the input mechanisms to configure and query different network resources to reactively configure settings for reacting to one or more events. The input mechanisms may also be utilized to define the network resources to be modeled within the global private network as well as connections within the global network. A user may configure events/metrics to be monitored, tasks/workflows to be performed, and the like. In some configurations, a network management service (NMS) may perform health monitoring and reachability monitoring to identify possible issues in the global network.

Abstract: A method includes receiving code for computer programming, analyzing the code and extracting a plurality of configuration properties from the code. In the method, one or more configuration files are generated from the extracted plurality of configuration properties, and microservice code is generated from the one or more configuration files. The microservice code is configured for deployment on one or more cloud computing platforms.

Abstract: This disclosure describes techniques for configuring and managing scalable global private networks associated with a service provider. Different input mechanisms, such as an API, a UI, or a CLI may be utilized to configure, and manage a global private network that spans across the cloud in different geographic locations and connects to different stand-alone networks. The user may proactively use the input mechanisms to configure and query different network resources to reactively configure settings for reacting to one or more events. The input mechanisms may also be utilized to define the network resources to be modeled within the global private network as well as connections within the global network. A user may configure events/metrics to be monitored, tasks/workflows to be performed, and the like. In some configurations, a network management service (NMS) may perform health monitoring and reachability monitoring to identify possible issues in the global network.

Abstract: Methods, systems, and computer-readable media for automated packetless network reachability analysis are disclosed. An analysis is performed of network configuration data for a network comprising a host computer. Based at least in part on the analysis, one or more ports at the host computer that are reachable from another computer are determined. Based at least in part on the analysis, one or more routes to the one or more ports are determined. A report is generated that is descriptive of the one or more ports and the one or more routes.

Abstract: A method for determining a measured variable comprises the following steps: a) providing a data record comprising values of a plurality of input variables and values of the measured variable; b) ascertaining correlations between the values of the input variables and the values of the measured variable; c) creating a sensor model on the basis of the ascertained correlations; d) acquiring at least one further value of at least one of the input variables; and e) determining a value of the measured variable on the basis of the at least one further value of at least one of the input variables and the sensor model wherein the values of at least one of the input variables in steps a) and/or e) have been determined, in turn, according to steps a) to e). Further, a sensor system and a gas turbine engine are provided.