Abstract: Embodiments may include a system and method for configuring operation of an information handling system based on a plurality of variants. Embodiments may determine the statistical operations for the variants, define priorities (for example less noise vs. better performance) and use iterative approximation of each variant in relation to all variants to select a profile and then configure operation of the information handling system based on the selected profile.

Abstract: An information handling system includes a storage and a processor. The storage stores a machine learning (ML) model. The processor receives first telemetry data associated with a second information handling system, and user survey data associated with the second information handling system. Based on the first telemetry data and the user survey data, the processor trains the ML model. The processor receives second telemetry data for the second information handling system. The processor executes the ML model to determine a composite score for the second information handling system.

Abstract: A system, method, and computer-readable medium for performing an information technology system monitoring and management operation. The information technology system monitoring and management operation includes: identifying IT asset data from a plurality IT asset data sources contained within an IT environment; extracting information from at least some of the IT asset information, the information being extracted via a named entity recognition model; analyzing the information extracted from the at least some of the IT asset information; and, provisioning an IT asset for the new user based upon the analyzing.

Abstract: A memory stores telemetry data for an information handling system. A processor analyzes applications being executed within the information handling system, and determines one or more of the applications that collect and send the telemetry data. The processor also retrieves a first list of different sets of data to be tracked for each of the applications. Each of the sets of data to be tracked is associated with a different one of the applications. The processor creates a second list of data being logged in the information handling system. Based on the first and second lists, the processor creates a comprehensive list of data tracked by the applications.

Abstract: In one or more embodiments, one or more systems, one or more methods, and/or one or more processes may: receive a first multiple telemetry data from multiple information handling systems (IHSs); determine first multiple performance health scores respectively associated with the IHSs; determine first multiple availability scores respectively associated with the IHSs; determine first multiple information handling system (IHS) update churn scores respectively associated with the IHSs; determine, via a machine learning process, a second distribution of the IHSs to the multiple IHS groups based at least on the first multiple IHS and performance health scores, the first multiple availability scores, and the first multiple IHS churn scores; and provide a first software update to IHSs of each IHS group.

Abstract: In one or more embodiments, one or more systems, one or more methods, and/or one or more processes may: receive a first multiple telemetry data from multiple information handling systems (IHSs); determine first multiple performance health scores respectively associated with the IHSs; determine first multiple availability scores respectively associated with the IHSs; determine first multiple information handling system (IHS) update churn scores respectively associated with the IHSs; determine, via a machine learning process, a second distribution of the IHSs to the multiple IHS groups based at least on the first multiple IHS and performance health scores, the first multiple availability scores, and the first multiple IHS churn scores; and provide a first software update to IHSs of each IHS group.

Abstract: A memory stores telemetry data for an information handling system. A processor analyzes applications being executed within the information handling system, and determines one or more of the applications that collect and send the telemetry data. The processor also retrieves a first list of different sets of data to be tracked for each of the applications. Each of the sets of data to be tracked is associated with a different one of the applications. The processor creates a second list of data being logged in the information handling system. Based on the first and second lists, the processor creates a comprehensive list of data tracked by the applications.