Abstract: A videoconferencing application carbon dioxide (CO2) emissions minimization system executing on a unified endpoint management platform information handling system may comprise a network interface device to receive operational telemetry measurements for a client information handling system, including power analytics, software application analytics, a geographic location, and a determined CO2 emissions value, a processor to determine a videoconferencing CO2 emissions value that exceeds a threshold value, based on the determined CO2 emissions value and power consumed during execution of a videoconferencing application at the client information handling system, the processor to identify a currently active, user-adjustable videoconferencing policy setting for the videoconferencing application, and the network interface device to transmit a recommended CO2 reduction instruction for display at the client information handling system to de-activate the user-adjustable videoconferencing policy setting to limit the vide

Abstract: An enterprise-wide carbon dioxide (CO2) emissions minimizing load-balancing system executing on a unified endpoint management platform information handling system comprising a processor receiving operational telemetry measurements for a first client information handling system including power analytics, a load of remote processing calls made to a processor, a geographic location, and a first client CO2 emissions value determined to exceed a first CO2 load-balancing emissions threshold value limiting the first client information handling system, the processor to reject remote processing call requests made to the first client information handling system above a CO2 optimal request load determined based on CO2 emitted per remote processing call request processed at the first client information handling system, and the processor to redistribute the rejected remote processing call requests across offload information handling systems having CO2 emissions values below a per-machine CO2 load-balancing emissions thres

Abstract: A device refurbishment carbon dioxide (CO2) emissions minimization system of a unified endpoint management platform information handling system comprising a network interface device to receive operational telemetry measurements for a first client information handling system or device operated by a first user, including power analytics, software application analytics, a first user geographic location, and a determined CO2 emissions value exceeding a non-eco-friendly state transition threshold value, a hardware processor to identify, via a neural network modeling a relationship between CO2 emissions values and operational telemetry measurements, a first user geographic location based CO2 increase cause, to determine the first user geographic location has a temperature higher than a temperature for a second geographic location of a second device, and the network interface device to generate and transmit recommendation instructions to the second device that the first device replace the second device for the secon

Abstract: A noise and carbon dioxide (CO2) emissions minimizing load-balancing system executing on a unified endpoint management platform information handling system comprising a network interface device to receive telemetry measurements for a first server operating within peak hours, including power analytics, geographic location, ambient temperature and humidity, CO2 emissions value, and measured noise level exceeding a first CO2 load-balancing noise threshold value for the first server, a hardware processor to reject processing requests made to the first server above a CO2 optimal request load predicted, via a neural network modeling a relationship between changes in CO2 emissions values and changes in the telemetry measurements to cause the first server to emit noise below the first CO2 load-balancing noise threshold value, and the hardware processor to redistribute rejected processing requests across candidate offload servers emitting noise below a candidate-specific CO2 load-balancing noise threshold value determ

Abstract: A protective carbon dioxide (CO2) emissions minimization system executing on a unified endpoint management platform information handling system may comprise a network interface device to receive operational telemetry measurements for a client information handling system including a non-eco-friendly state transition threshold value, a neural network modeling a relationship between changes in CO2 emissions values and operational telemetry measurements to predict that a user-adjustable operational telemetry measurement will cause a future determined CO2 emissions value for the client information handling system exceeding the non-eco-friendly state transition threshold value, a hardware processor to identify a remediation user instruction predicted to change operation of the client information handling system, causing a change in the user-adjustable operational telemetry measurement to prevent the future determined CO2 emissions value from exceeding the non-eco-friendly state transition threshold value, and the n

Abstract: A carbon dioxide (CO2) emissions state remediation system executing on a unified endpoint management platform information handling system may comprise a network interface device to receive operational telemetry measurements for a client device during routine monitoring intervals, including a CO2 emissions value exceeding a non-eco-friendly state transition threshold value for the client device and indication of a failed hardware component, the hardware processor to predict, via a neural network modeling a relationship between changes in CO2 emissions values and changes in operational telemetry measurements, that replacement of the failed hardware component with a new replacement component having a known power efficiency value will cause a future determined CO2 emissions value for the client device to fall below the non-eco-friendly state transition threshold value, and the network interface device to transmit a replacement instruction for display to a user of the client device to install the new replacement c

Abstract: A carbon dioxide (CO2) emissions state transition prediction system executing on a unified endpoint management platform information handling system may comprise a network interface device to receive operational telemetry measurements for a first client device during routine monitoring intervals, including a determined CO2 emissions value, and a non-eco-friendly state transition threshold determined for the first client device, a hardware processor to predict, via a neural network modeling relationships between changes in CO2 emissions values over a most recent monitoring period and changes in user-adjustable operational telemetry measurements over a prior monitoring period, that a future determined CO2 emissions value for the first client information handling system determined based on operational telemetry measurements recorded during the current routine monitoring interval will exceed the non-eco-friendly state transition threshold value, and the network interface device to transmit an indication for user d

Abstract: A usage profile based CO2 optimization system of an information handling system may comprise a processor to determine, using an ensemble machine-learning algorithm, rankings for user-disruptive static system configurations for a plurality of client information handling systems according to a level at which each user-disruptive static system configuration impacts carbon footprints of the client information handling systems, determine the first and second client information handling systems have matching values for a highest ranked user-disruptive static system configuration and mismatching values for an adjustable dynamic system configuration, determine the first client information handling system has a smaller carbon footprint than the second client information handling system, a network interface device to transmit a recommendation to the second client information handling system to adopt the value for the adjustable dynamic system configuration at the first client information handling system to decrease the

Abstract: A carbon dioxide (CO2) emission tracking system operating on a client information handling system may comprise a processor, a network interface device, and a display to display a graphical user interface (GUI) to gather analytics for an executing software application hardware power consumption analytics, and a location for the client information handling system, the processor to receive from a Unified Endpoint Management (UEM) platform a distributed power CO2 emissions value estimating CO2 emission per Watt of power consumed at the location, determine a power CO2 emissions value estimating CO2 emitted during a measured consumption of power, based on the hardware power consumption analytics, determine an application CO2 emissions value estimating CO2 emitted by the software application during consumption of hardware resources contributing to the power CO2 emissions value, and display the power CO2 emissions value to provide a carbon footprint for computing activities of the client information handling system.

Abstract: A hardware right to repair prioritization system comprising a graphical user interface (GUI) to receive partial rankings of requirements for prioritizing an failing component replacement, where each requirement describes a characteristic having varied values across the failing components, a processor to generate a priority requirement ranking for all of the requirements, based on the partial rankings, determine a replacement priority rank for each failing component, based on characteristic values for each failing component and priority requirement ranking; determine a change in carbon dioxide (CO2) footprint resulting from replacement of each of the failing components, generate a CO2 optimized replacement priority rank by weighting the replacement priority rank by the change in CO2 footprint for each of the failing components; identify a failing component associated with a highest CO2 optimized replacement priority rank as a top replacement candidate, and the GUI to recommend immediate replacement of the top

Abstract: A system and a method for executing an update carbon dioxide (CO2) footprint optimization system for a client information handling system comprising a processor to gather telemetry describing power consumption and usage of hardware component resources during execution of a software application, to determine an execution CO2 emissions comparison index value describing a difference between CO2 emitted due to recent execution of the application relative to CO2 emitted due to the current execution at an optimal efficiency or due to a modelled, expected performance of the application after installation of an available update, and to determine an installation CO2 emissions comparison index value estimating CO2 emissions associated with an installation process of the available update. The system and method generating a user recommendation to delay installation of the update if the installation CO2 emissions comparison index value exceeds the execution CO2 emissions comparison index value to conserve CO2 emissions.

Abstract: A hardware failure prediction and avoidance system executing on a unified endpoint management platform information handling system comprising a network interface device (NID) to receive failed operational telemetries for client devices including power and software analytics, and event viewer error logs, and an error associated with a hardware type, a processor to execute a classification supervised learning algorithm on the failed operational telemetries to determine that a hardware or software configuration will likely co-occur with a future error of the hardware type, identify the hardware or software configuration as problematic, the processor to identify the problematic system configuration in a current operational telemetry by correlating the current operational telemetry with a portion of the failed operational telemetries, and the NID to transmit a recommendation to the first client device to adjust the problematic system configuration in order to avoid occurrence of the error at the first client devic

Abstract: An adaptive carbon dioxide (CO2) emissions reduction system operating on a client information handling system may comprise a processor, a network interface device, and a graphical user interface (GUI) to gather analytics for an executing software application hardware power consumption analytics, and a location for the client information handling system, determine a power CO2 emissions value estimating CO2 emitted during a measured consumption of power at the location based on the hardware power consumption analytics, determine that updated power consumption exceeds a maximum power draw threshold value determined based on user input for decreasing the power CO2 emissions value and location, and display a hardware reconfiguration recommendation for reconfiguring a hardware component currently configured for high performance to a power conservation setting.

Abstract: A hardware life extension learning recommendation and reward system of an information handling system may comprise a network interface device to receive operational telemetries from a first and a second computing device that each include a high temperature warning, an error for a labeled hardware type, and execution of a specific application, and a processor to determine, based on these telemetries, that failure of a first component of the labeled hardware type previously occurred at the first device, failure of a second component of the labeled hardware type has occurred at the second device, and execution at the first device of a previous recommendation to limit access to resources of the first component made available to the specific application extended the first component lifetime. A new recommendation may be transmitted to the second device to limit access to resources of the second component to the specific application.

Abstract: A system and a method of reporting greenhouse gas (GHG) emissions based on transparently gathered and verified data may comprise receiving a query, via a graphical user interface (GUI), identifying an end-product, retrieving from a database repository an overall GHG emission value determined based on a GHG emission equation and a plurality of data field values of reported GHG emissions stored in the database repository and having a secure source and chain of possession as verified by a database management system (DBMS) platform orchestrating access to the database repository, determining a distributed GHG emission value describing GHG emitted during manufacture of the end-product, based on the overall GHG emission value and a number of the end-products manufactured and supply chain reporting over a reporting period, and displaying the distributed GHG emission value via the GUI.

Abstract: A method of recommending reuse of hardware components across client information handling systems to extend hardware life may comprise receiving operational telemetries from a first and second information handling system, each including an error associated with a hardware type, and measured workloads on the hardware type, determining, based on the operational telemetries that a hardware component of the same type is failing at both the first and second information handling systems, and that the first information handling system is within a preset maximum distance from the second information handling system, determining failure of the component at the first information handling system is due to a workload on that component that is higher than the workload on the same component at the second information handling system, and transmitting a recommendation to replace the component at the second information handling system with the component from the first information handling system.