Abstract: In some examples, a server retrieves a video and performs an audio analysis of an audio portion of the video and a video analysis of a video portion of the video. The video may provide information on modifying a hardware configuration and/or a software configuration of a computing device. The audio analysis performs natural language processing to the audio portion to determine a set of words indicative of a start and/or end of a segment. The video analysis uses a convolutional neural network to analyze the video portion to determine frames in the video portion indicative of a start and/or end of a segment. Machine learning segments the video by adding chapter markers based on the video analysis and the audio analysis. The video is indexed, hyperlinks are associated with each segment, and each hyperlink named to enable a user to select and stream a particular segment.

Abstract: A method includes identifying at least one software update available for a given computing device, determining a state of the given computing device, and utilizing a machine-learning based predictive model to assess compatibility of the at least one software update with the given computing device based at least in part on the state of the given computing device, the machine learning-based predictive model being trained utilizing historical incident data for a plurality of incidents associated with application of software updates to a plurality of computing devices. The method also includes generating a recommendation notification indicating compatibility of the at least one software update with the given computing device, and providing the recommendation notification in conjunction with presentation of one or more user interface features controlling whether to apply the at least one software update to the given computing device.

Abstract: A system receives a first alert pertaining to a main part from a managed information handling system, determines whether an alternative part is available at the managed information handling system as a substitute for the main part, and determines a life expectancy of the alternative part. The system may also determine whether an expected level of service can be expected to be provided by the alternative part based on the life expectancy of the alternative part, select between a plurality of levels of criticality to apply to the first alert, and dispatch the first alert for resolution at a selected level of criticality.

Abstract: An information handling system may obtain timing information for processing among layers of a first client-side information handling system, and compare the timing information to threshold values to provide a comparison. The information handling system may use the comparison to identify an area of the first client-side information handling system in which a problem exists, and initiate remedial action directed to the problem.

Abstract: Graphical menu management may be based on variable-length inputs to a touch sensitive display. An information handling system displays a graphical user interface presenting a listing of messages, channels, or other content. When a user makes a gestural input to the touch sensitive display, the information handling system determines a relative length of the input. The information handling system generates a menu of options based on the relative length of the input.

Abstract: An information handling system obtains input pointer information originating from an input pointing device, obtains an existing wireframe model of a graphic user interface (GUI) content layout, and analyzes a user journey through the GUI content layout to obtain usage information. The information handling system may tag regions of the existing wireframe model based on the usage information, and rearrange the existing wireframe model to provide an improved wireframe model representative of an improved GUI content layout.

Abstract: An information handling system includes a processor configured to store a first module of a software application, the first module of the software application selected based on customer journey information pertaining to usage of the software application. The processor begins execution of the first module prior to receipt of a second module of the software application, the second module selected based on the customer journey information.

Abstract: Methods, apparatus, and processor-readable storage media for cognitive device management using artificial intelligence are provided herein.

Abstract: An information handling system receives information from an input pointer, obtains a first coordinate from the information with respect to a first direction of a display, obtains a second coordinate from the information with respect to a second direction of a display screen, and obtains a third coordinate from a scrolling value representative of an amount of scrolling of a contiguous presentation of displayable information for display of a portion of the contiguous presentation of displayable information within the display. The system also obtains a fourth coordinate representative of a time at which the first coordinate and the second coordinate are obtained, and provides an unambiguous record of a user's navigation of the contiguous presentation of displayable information based on the first coordinate, the second coordinate, the third coordinate, and the fourth coordinate.

Abstract: An information handling system (IHS) includes spatially diverse IHS components and temperature sensors disposed with respect to the spatially diverse IHS components. A fan controller defines cooling sections of the IHS for spatially diverse fans based on topological information as to locations of the spatially diverse IHS components, and selectively controls the spatially diverse fans according to component temperatures obtained from the temperature sensors and according to the cooling sections.

Abstract: Methods, apparatus, and processor-readable storage media for device temperature impact management using machine learning techniques are provided herein. An example computer-implemented method includes obtaining one or more notifications pertaining to temperature information associated with one or more devices; generating one or more predictions pertaining to at least one potential problem with at least one of the one or more devices by applying one or more machine learning models to the one or more obtained notifications; determining one or more automated actions related to the one or more predictions by utilizing at least one neural network to process data associated with temperature control for the at least one device; and automatically initiating the one or more automated actions.

Abstract: A user interface is presented to a user. The method determines whether or not to customize a size of one or more components on the user interface. The method then determines one or more candidate components on the user interface to customize, when a determination is made to customize a size of one or more components on the user interface. The method customizes the one or more candidate components on the user interface, and presents a customized user interface to the user.

Abstract: A user interface is presented to a user. The method determines whether or not to customize a size of one or more components on the user interface. The method then determines one or more candidate components on the user interface to customize, when a determination is made to customize a size of one or more components on the user interface. The method customizes the one or more candidate components on the user interface, and presents a customized user interface to the user.

Abstract: An information handling system receives messages of a chat conversation, and may convert the messages into request and response pairs. The information handling system may also determine customer reaction determinations for respective ones of the request and response pairs, integrate the request and response pairs and the customer reaction determinations into a customer reaction timeline, and generate a chatbook from the customer reaction timeline.

Abstract: A component tracking system includes a plurality of devices that each include a device component monitoring subsystem that monitors for and records the addition and/or removal of device components to/from that device. A device component manager system that is coupled to each of the plurality of devices identifies, via a recording by a first device monitoring subsystem in a first device included in the plurality of devices, the removal of a first device component from the first device. The device component manager system then determines, via a recording by a second device component monitoring subsystem in a second device included in the plurality of devices, that the first device component has been added to the second device within a time period and, in response, the device component manager device prevents a removed first device component alarm.

Abstract: An information handling system (IHS) may include a battery management unit (BMU) that remains operational when the IHS in general is in a powered off state. A processor is operational when the IHS in general is in a powered on state but not when the IHS in general is in a powered off state. The BMU is configured to obtain charge and discharge pattern information while the IHS in general is in the powered off state, to transmit the charge and discharge pattern information to the processor when the IHS in general is in the powered on state, to receive user control information from the processor, and to control charge and discharge of a battery according to the user control information when the IHS in general is in the powered off state.

Abstract: A system capacitively senses a swiping motion to a touch sensitive display, determines a length associated with the swiping motion to the touch sensitive display, and displays a menu of options based on the length associated with the swiping motion. The system capacitively senses inputs to the touch sensitive display that correspond to selections from the menu, determines probabilities associated with the options, and modifies the menu based on the probabilities.

Abstract: In some examples, a computing device may determine, based on sensor data, that the computing device is in a public environment. In response, the computing device may display an entry wheel to enable a user to enter a password. The entry wheel may include multiple input symbols arranged equidistant around a circle. In some cases, one or more geometric patterns linking a portion of the input symbols may be displayed. After receiving an individual character of the password, the computing device may display the entry wheel rotated a number of positions in either a clockwise or counter-clockwise direction and display zero or more of the geometric patterns. After all the characters of the password have been received, the computing device may determine if the password matches a previously stored password. If the password matches, the computing device may transition from a low power state to an active state.

Abstract: A mechanism for determining whether a user should be using a single-hand virtual keyboard for a large-format touch screen device is provided. Additionally, a mechanism is provided to determine whether the single-hand virtual keyboard should be configured for a left-handed or a right-handed user. Further, a mechanism is provided to determine an appropriate size for the single-hand virtual keyboard for a particular user. In this manner, embodiments provide an input mechanism that allows for efficient and comfortable typing on a large-format touch screen device.

Abstract: A component tracking system includes a plurality of devices that each include a device component monitoring subsystem that monitors for and records the addition and/or removal of device components to/from that device. A device component manager system that is coupled to each of the plurality of devices identifies, via a recording by a first device monitoring subsystem in a first device included in the plurality of devices, the removal of a first device component from the first device. The device component manager system then determines, via a recording by a second device component monitoring subsystem in a second device included in the plurality of devices, that the first device component has been added to the second device within a time period and, in response, the device component manager device prevents a removed first device component alarm.