Abstract: Various systems and methods are provided for analyzing the effect(s) that a configuration change to one device has on other connected devices. In one embodiment, the disclosed functionality includes determining connectivity information associated with a data center, where the data center comprises at least a first device and a second device; discovering one or more changes to a configuration of the first device; determining, based at least in part on the connectivity information, that the second device is impacted by the one or more changes to the configuration of the first device; and determining one or more impacts to the second device as a result of the one or more changes, where each of the one or more impacts indicates a positive impact to the second device, a negative impact to the second device, or no impact to the second device.

Abstract: A lighting control system that may incorporate a mobile device a signal circuit connected to the mobile device, a lighting controller connected to signal circuit, and one or more lighting fixtures that are controllable connected to the lighting controller. There also may be one or more beacons. The signal circuit may be on the web. The connections may be wire or wireless. The one or more lighting fixtures provide visual light communication to the mobile device. The one or more beacons broadcast signals that are detected for location by the mobile device. One or more controls of the one or more light fixtures, respectively, may appear on a display when the mobile device is capable of receiving light directly from the one or more light fixtures.

Abstract: Methods, apparatus, and processor-readable storage media for dynamic digital information retrieval are provided herein. An example computer-implemented method includes training a machine learning object detection model using server component images and one or more features of the server component images; determining a type of server device captured by at least one camera-derived input, wherein determining the type of server device comprises analyzing the at least one camera-derived input using the machine learning object detection model; identifying one or more server components captured by the at least one camera-derived input by analyzing, within a context of the determined type of server device, the at least one camera-derived input using the machine learning object detection model; and outputting, to at least one display, information pertaining to the identified server components, wherein the information is retrieved from a data source related to the determined type of server device.

Abstract: A method of crosslinking a polyolefin resin with a silyl hydride crosslinking agent is disclosed. Crosslinkable compositions containing a polyolefin resin having about 0.9% to about 10% diene groups and a silyl hydride crosslinking agent are also disclosed.

Abstract: Methods for recombinant and enzymatic production of mogroside compounds and compositions containing mogroside compounds are provided by this invention.

Abstract: As an example, a software application executing on a computing device of a channel partner may access an application programming interface (API) hosted by a server to access a manufacturer's data. The computing device may provide criteria to the API to identify a subset of a set of configurations. The computing device may be used to select a particular configuration in the subset and to perform one or more modifications to the particular configuration to create a modified configuration. The computing device may use the API to access a verification module to verify whether the modified configuration can be built. If the modified configuration is unbuildable, the computing device may be used to make additional modifications to the particular configuration until the modified configuration is verified as buildable. The channel partner may place an order for a particular quantity of the modified configuration.

Abstract: Methods, information handling systems and computer readable media are disclosed for determining a priority score for a pending support request document. According to one embodiment, a method includes receiving current support request information from within a pending support request document and accessing current additional information associated with the pending support request document. The method further includes associating a set of parameter values with the pending support request document, wherein the values within the set of parameter values are based on information within one or both of the current support request information or the current additional information.

Abstract: Various systems and methods are provided for using a response tracking plugin to detect and inform users in real time when one or more recipients of an email are actively responding to that email. In one embodiment, the functionality disclosed herein can be applied to an email that was sent to a plurality of recipients, including at least a first and second recipient, and where the email comprises a plugin that is configured to enable response tracking. One such embodiment comprises receiving the email; monitoring for a first pulse from the second recipient of the email, where the pulse is configured to indicate that the second recipient of the email has begun a reply to the email; and in response to receiving the first pulse, displaying an indication that comprises information about the second recipient of the email.

Abstract: As an example, a server may host an intelligent parts catalog that uses multiple machine learning models to identify a similarity between each part and one or more other parts in the intelligent parts catalog based on attributes of each of the parts in the intelligent parts catalog. For example, the attributes may include size, form factor, electrical characteristics, power consumption, price, regulations complied with, reliability, taxonomy, and the like. If a particular part becomes unavailable (e.g., due to weather, labor strike, or manufacturing issues), the intelligent parts catalog may provide a similarity score with each similar part that quantifies how similar each similar part is to the particular part. In this way, the same bill of materials can be used to identify parts to create a first product for a quality-conscious market, a second product for a price-sensitive market, and a third product to comply with local regulations.

Abstract: Techniques for safe guarding of functionalities of a computer program in an information processing system are disclosed. For example, a method comprises the following steps. A plurality of criticality levels is obtained for a plurality of functionalities of a computer program configured to execute on a computer system, wherein the computer system comprises one or more resources usable to execute the computer program. Data is collected for the plurality of functionalities of the computer program. Usage of the one or more resources for executing the plurality of functionalities of the computer program for a given set of data is predicted. Execution of a portion of the plurality of functionalities of the computer program is ensured based on the predicted usage of the one or more resources and the criticality level for each of the plurality of functionalities.

Abstract: Methods and systems for managing facility access credentials for two or more facilities are disclosed. The method may include electronically receiving a user request to gain access to a designated facility of the two or more facilities and electronically receiving user information related to a user that is making the user request. A facility access credential from a group of facility access credentials that are assigned by a third-party credential issuer may be obtained and linked to the user information and the designated facility. The obtained facility access credential for use in gaining access to the designated facility may be activated resulting in an activated facility access credential and a notification transmitted to the user notifying the user of the activated facility access credential.

Abstract: Provided are methods and systems for combining business process management (BPM) and robotic process automation (RPA) into a unified BPM and RPA process. An example method commences with creating a BPM process flow. The BPM process flow can include one or more BPM models for executing BPM tasks. The method then proceeds with creating an RPA process flow. The RPA process flow can include one or more RPA models for executing the one or more RPA tasks. The method can further include linking the one or more RPA models to the BPM process flow. Thereafter, the method proceeds with creating an application package associated with the unified BPM and RPA process. The application package can include the one or more BPM models and the one or more RPA models. The method can further include exporting the application package for deployment.

Abstract: An information handling system includes service layer processing circuitry and server component processing circuitry. The service layer processing circuitry receives an electronic mail message. The server component processing circuitry may communicate with the service layer processing circuitry. The server component processing circuitry assigns an escalation card to the electronic mail message by a processor storing the escalation card and the electronic mail message in a computer memory, and determines whether a service level agreement (SLA) of the escalation card has been met. In response to the SLA not being met, the server component processing circuitry escalates the electronic mail message based on the escalation card. In response to the escalation of the electronic mail message, the server component processing circuitry notifies a sender of the electronic mail message that the electronic mail message has been escalated.

Abstract: As an example, a computing device may broadcast, via a software application, a message to multiple computing devices requesting devices to participate in an activity occurring at a particular time at a particular location. A subset of the multiple computing devices may gather at the particular location prior to the particular time to participate in the activity. Prior to the particular time, the computing device may discover the subset and create a peer-to-peer network. Based on a set of attributes associated with each computing device in the subset, the computing device may assign individual computing devices in the subset a role and a position. Each of the computing devices in the subset may be positioned in the particular location according to the position and perform the role at the particular time to collectively perform the activity.

Abstract: A method includes retrieving information regarding a candidate from a plurality of sources, and analyzing the information regarding the candidate using one or more machine learning techniques. A plurality of questions for the candidate are generated based on the analysis. The method further includes receiving and analyzing a plurality of natural language responses to the plurality of questions from the candidate, and computing a plurality of confidence scores for the plurality of natural language responses using the one or more machine learning techniques. The plurality of questions and the plurality of confidence scores are provided to a user via a user interface.

Abstract: In some examples, a server may receive an order from a customer to acquire a computing device. The server may determine a customer and a customer location associated with the order and determine a documentation specification based at least in part on the customer and the customer location. The server may determine content identifiers corresponding to content (e.g., documentation and software) to be provided with the order. The server may associate a device identifier that uniquely identifies the computing device with the content identifiers. The computing device may be shipped to the customer location without the plurality of content. When the computing device is booted at the customer location, the computing device may send the device identifier to the server, the server may determine the plurality of content identifiers associated with the device identifier, and send the plurality of content in a digital form for installation on the computing device.

Abstract: A system for displaying an organization model is configured to: (a) retrieve work items from storage, each work item including at least one requirement; (b) determine, for each of the work items, one or more dependencies; (c) determine a relative ranking of costs for the work items; and (d) provide, to a client device, visualization parameters for representing the work items. For a respective work item, the visualization parameters include a first visual indicator representing a type of work item, a second visual indicator representing a cost of delay associated with the work item, and a third visual indicator representing a cost of delay profile for the work item. The visualization parameters further include a fourth visual indicator for linking pairs of work items to indicate a dependency between the linked work items.

Abstract: As an example, a server may receive and/or retrieve news items and process the news items using natural language processing to identify news related to entities (e.g., people, locations, and organizations) extracted from an enterprise resource planning system. A term frequency-inverse document frequency algorithm may be used to identify critical news items that may impact one or more supply chains associated with at least one product that is to be manufactured. A long short-term memory artificial recurrent neural network may be used to determine a confidence score for each critical news item. The confidence scores of the critical news items may be used to adjust replenishment planning and a master build plan that includes a plan to build the at least one product. In this way, news items may be used to automatically (e.g., without human interaction) adjust the master build plan.

Abstract: A method for extending new radio (NR) usage indications to an application function (AF) includes, at a policy and charging rules function (PCRF) including at least one processor, receiving an indication of NR usage by a user equipment (UE). The steps further include determining that an AF is subscribed to receive indications of NR usage for the UE. The steps further include, in response to determining that an AF is subscribed to receive indications of NR usage for the UE, communicating the indication of NR usage to the AF. The steps further include receiving a message from the AF to effect a change in service provided to the UE based on the indication of NR usage. The steps further include effecting the change in service provided to the UE based on the indication of NR usage.

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.