Abstract: Methods, apparatus, and processor-readable storage media for implementing a message management framework using machine learning techniques are provided herein. An example computer-implemented method includes processing a message comprising identifying at least one message type of the message; determining, based at least in part on the at least one identified message type, one or more message failures by applying one or more machine learning-based rules to at least a portion of the message; determining one or more remedial actions by processing, using one or more machine learning techniques, the at least one identified message type, the one or more determined message failures, and multiple attributes of the message; and performing one or more automated actions based at least in part on the one or more determined remedial actions.

Abstract: Methods, apparatus, and processor-readable storage media for automated capacity management using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining image data pertaining to occupancy of a confined space; determining a level of occupancy in the confined space and one or more types of entities occupying the confined space by processing the image data using a first set of one or more artificial intelligence techniques comprising at least a first machine learning model; automatically determining one or more capacity management parameters with respect to the confined space by analyzing the determined level of occupancy and the one or more determined types of entities using a second set of one or more artificial intelligence techniques comprising at least a second machine learning model; and performing one or more automated actions based at least in part on the one or more determined capacity management parameters.

Abstract: Methods, apparatus, and processor-readable storage media for data integration demand management using artificial intelligence are provided herein. An example computer-implemented method includes obtaining at least one data integration demand, wherein the at least one data integration demand comprises textual information provided by at least one user; determining multiple parameters of the at least one data integration demand by applying one or more machine learning natural language processing techniques to at least a portion of the textual information provided by the at least one user; generating at least one delivery date prediction for the at least one data integration demand by applying one or more artificial intelligence techniques to the multiple determined parameters of the at least one data integration demand; and performing one or more automated actions based at least in part on the at least one generated delivery date prediction.

Abstract: Methods, apparatus, and processor-readable storage media for device component management using deep learning techniques are provided herein. An example computer-implemented method includes obtaining telemetry data from one or more enterprise devices; determining, for each of the one or more enterprise devices, values for multiple device attributes by processing the obtained telemetry data; generating, for each of the one or more enterprise devices, at least one prediction related to lifecycle information of at least one device component by processing the determined attribute values using one or more deep learning techniques; and performing one or more automated actions based at least in part on the at least one generated prediction.

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

Abstract: Methods, apparatus, and processor-readable storage media for augmenting end-to-end transaction visibility using artificial intelligence are provided herein. An example computer-implemented method includes obtaining data related to multiple transaction flows across multiple data sources within an enterprise system, and forecasting anomalies in connection with at least one of the transaction flows by applying one or more of a first set of artificial intelligence techniques to portions of the obtained data, wherein applying the artificial intelligence techniques is based on which of the multiple data sources correspond to the portions of the obtained data. Such a method further includes determining automated actions to be performed in connection with the forecasted anomalies by applying one or more of a second set of artificial intelligence techniques to portions of the obtained data related to the forecasted anomalies, and performing the automated actions in connection with the at least one transaction flow.

Abstract: Methods, apparatus, and processor-readable storage media for device manufacturing cycle time reduction using machine learning techniques are provided herein. An example computer-implemented method includes obtaining video input related to one or more manufacturing resources in a manufacturing environment; determining availability status information for at least one of the one or more manufacturing resources by applying one or more machine learning models to the obtained video input; and outputting the determined availability status information to at least one user device associated with the manufacturing environment.

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: Methods, apparatus, and processor-readable storage media for implementing Internet of Things- (IoT-) enabled connectivity devices for processing operation information of devices lacking network connectivity are provided herein.

Abstract: Methods, apparatus, and processor-readable storage media for machine learning-based determinations of lifespan information for devices in an Internet of Things (IoT) environment are provided herein. An example computer-implemented method includes automatically obtaining device telemetry data from one or more IoT-enabled devices within an IoT network, automatically determining lifespan-related information pertaining to at least a portion of the one or more IoT-enabled devices by applying a machine learning model to the device telemetry data, and initiating at least one automated action in response to the determined lifespan-related information.

Abstract: Methods, apparatus, and processor-readable storage media for transaction visibility framework implemented using artificial intelligence are provided herein.

Abstract: Methods, information handling systems and computer readable media are disclosed for automatically converting from one message queue service to another. In one embodiment, a method includes receiving identification of an application program, a current message queue service employed by the application program, and a target message queue service to be employed by the application program instead of the current message queue service. The method embodiment further includes identifying current message queue object instances for the application program and mapping identifiers of the current message queue object instances to identifiers of target message queue object instances for use with the target message queue service.

Abstract: In accordance with embodiments of the present disclosure, an information handling system may include a processor, a directory service application comprising a program of instructions embodied in computer-readable media accessible to the processor, the directory service application configured to enumerate a plurality of management controller categories for management controllers of a plurality of information handling systems communicatively coupled to one another via a network and create a directory service device object for each of the plurality of management controller categories.

Abstract: In accordance with embodiments of the present disclosure, an information handling system may include a processor, a directory service application comprising a program of instructions embodied in computer-readable media accessible to the processor, the directory service application configured to enumerate a plurality of management controller categories for management controllers of a plurality of information handling systems communicatively coupled to one another via a network and create a directory service device object for each of the plurality of management controller categories.

Abstract: A server can efficiently distribute images for a web page as groups of images. The server receives a request from a client for a group of images associated with a web page. The request encodes an image group identifier and a retrieving function. The server executes the retrieving function with the image group identifier to obtain the group of images. In response to the request, the group of images are transmitted over a number of data communication connections between the client and the server that are less than a number of images in the group of images.

Abstract: A light module includes circuit board with a top and bottom side. Multiple light emitting diodes (LEDs) are positioned along the top side of the circuit board. A bottom side of a gas permeable layer of material having top and bottom sides is adhered to at least a portion of the top side of the circuit board. A pair of elongated double-sided adhesive strips are coupled to the top side of the gas-permeable material near opposing ends of the circuit board. An optical lenses is positioned over each of the LEDs. A cover panel is then positioned over the circuit board, the first layer of material, the adhesive strips and at least a portion of each optic and adhered to top side of each of the elongated adhesive strips. Each lens includes an optical cavity and a recessed area adjacent the optical cavity for receiving a reflector therein.

Abstract: A server can efficiently distribute images for a web page as groups of images. The server receives a request from a client for a group of images associated with a web page. The request encodes an image group identifier and a retrieving function. The server executes the retrieving function with the image group identifier to obtain the group of images. In response to the request, the group of images are transmitted over a number of data communication connections between the client and the server that are less than a number of images in the group of images.

Abstract: A server can efficiently distribute images for a web page as groups of images. The server receives a request from a client for a group of images associated with a web page. The request encodes an image group identifier and a retrieving function. The server executes the retrieving function with the image group identifier to obtain the group of images. In response to the request, the group of images are transmitted over a number of data communication connections between the client and the server that are less than a number of images in the group of images.

Abstract: Embodiments may comprise hardware and/or code within a cellular phone to process data related to charges for a call to indicate the charges to the user. In some embodiments, the charges may be presented in the form of an icon. The icon may indicate whether or not charges apply to the call, a range of charges, and/or a rate of charge. Further embodiments may display characters describing conditional charges for a call. In still further embodiments, the charges for a call may be indicated by an audible alert such as a volume, frequency, pattern of frequencies, or a voice generated. Embodiments may also include hardware and/or code of a cellular phone server such as an MTSO to gather and transmit account information to a cellular phone (or apparatus with similar functionality such as a mobile broadband card).

Abstract: A method, computer program product, and data processing system for exchanging information regarding software source code among a team of developers is disclosed. In a preferred embodiment of the present invention, a developer associates commentary with a particular code feature, such as a function or object class. A list of intended recipients or readers of the commentary is obtained from the developer. Additional settings regarding such things as an expiration date for the commentary are also obtained from the developer. The source code with associated commentary is then made available to the intended readers. If desired, the source code with associated commentary may be transmitted the intended recipients via e-mail or an “instant message” or other form of notification can be transmitted to the intended recipients to notify them of the commentary to be read.