Abstract: A system includes a communications interface configured to receive a plurality of data series captured by a plurality of sensors. A first database includes at least a first data series of the plurality of data series. A second database includes metadata related to the first data series. One or more processors are configured to receive an instruction including an indication of a computation to perform and metadata filter criteria, query the second database to determine at least a portion of the first data series that satisfies the metadata filter criteria by reference to at least the metadata related to the first data series, access, from the first database and based on results of the query of the second database, the portion of the first data series, and perform the computation on the portion of first data series accessed from the first database.

Abstract: Systems, computer program products, and methods are described herein for intelligent database modelling. The present invention is configured to capture, using the augmented reality application, a drawing made by the user on a medium; initiate a first machine learning model on the drawing; determine that the user is attempting to design a database model; extract at least a first entity from the drawing; determine, using the first machine learning model, one or more attributes for the first entity; initiate, via the augmented reality application, a first push notification for display on the computing device of the user; electronically receive, via the augmented reality application, a user selection of a subset of attributes from the one or more attributes; generate, using the augmented reality application, a conceptual database model based on at least the first entity and the subset of attributes.

Abstract: A method for providing context based artefact access to tenants of a cloud computing system includes receiving a request to access an artefact deployed on the cloud computing system. The request includes a tenant identifier and an artefact identifier. Context data associated with the artefact is determined based on the tenant identifier. Context data associated with the artefact is retrieved from an artefact repository stored in a database of the cloud computing system. Access to the artefact is provided based on the retrieved context data associated with the artefact on a device associated with the tenant.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for post-hoc deferral for classification tasks. In particular, a system can perform either post-hoc threshold correction or post-hoc rejector training to account for the cost of deferring model inputs to an expert system for classification.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to validating migrated data. In some embodiments, there is provided a system for validating migrated data including a control circuit configured to migrate data from a first database platform to a second database platform and validate the migrated data. The control circuit configured to transmit a message indicating a mismatch in response to a determination that a first single aggregated hash value does not match with a second single aggregated hash value.

Abstract: An information handling system includes a basic input/output system (BIOS), and multiple virtual machines including first and second virtual machines. The first virtual machine communicates with the BIOS and other hardware components within the information handling system. The second virtual machine is configured in a BIOS update configuration. The first virtual machine receives a hypercall from the second virtual machine. The hypercall includes a command having a command type. The first virtual machine determines whether the command type within the hypercall matches a cloud policy assigned to the second virtual machine. In response to the command type matching the cloud policy, the first virtual machine provides the command to a proper hardware component within the information handling system.

Abstract: A method for optimized routing of service based interface (SBI) request messages to remote network function (NF) repository functions (NRFs) using indirect communications via a service communication proxy (SCP) includes, at an SCP including at least one processor, receiving an SBI request message. The method further includes forwarding the SBI request message to a remote NRF. The method further includes determining that the remote NRF is unable to process the SBI request message, and, in response to determining that the remote NRF is unable, identifying a georedundant mate of the remote NRF. The method further includes forwarding the SBI request message to the georedundant mate NRF of the remote NRF that is unable to process the SBI request message.

Abstract: Apparatuses, systems, and techniques to generate a prompt for one or more machine learning processes. In at least one embodiment, the machine learning process(es) generate(s) a plan to perform a task (identified in the prompt) that is to be performed by an agent (real world or virtual).

Abstract: A method of accessing data from disparate data sources at a data access layer, the method comprising: receiving a request to ingest raw data from a plurality of systems of record; ingesting raw data from the plurality of systems of record based on the received request to ingest raw data; mapping the ingested raw data to a plurality of unpopulated enterprise object models to standardize the ingested raw data and to populate the enterprise object models; storing the standardized data and the plurality of populated enterprise object models; and providing the plurality of populated enterprise object models to the data access layer for accessing the standardized data.

Abstract: A method of generating an annual product quality review report includes defining at least one author for generating the report; selecting a chapter for inclusion in the report, wherein the chapter is associated with one or more predefined data requirements which predefined data requirements may be presented to the author for inclusion in the report; defining at least one system of record from a plurality of systems of record as a source of raw data for providing data to the one or more predefined data requirements. The at least one system of record provides raw data to the predefined data requirements through a tech fabric that causes the raw data to populate one or more enterprise object models to standardize the raw data.

Abstract: A method for capturing videos and/or images of a target area using a single camera configured with an aerial vehicle (AV) is disclosed including the steps of moving the AV over the area of interest along a straight path; capturing a first set of images of an area down below by pointing an optical axis of the camera towards a first side of the straight path such that the optical axis makes a first set of predefined angles with vertical; and capturing a second set of images of the area down below by pointing the optical axis of the camera towards a second side of the straight path such that the optical axis makes a second set of predefined angles with respect to the vertical. Side overlap between the first and second set of images is optimized to account for error in camera movement.

Abstract: Transactions between entities may be validated using LoRaWAN communications to more quickly process those transactions. In the example of check depositing, a first entity associated with a check payee may transmit a check clearance request to a second entity associated with a check payor using LoRaWAN communications. The LoRaWAN signaling and communications may be performed between devices within LoRaWAN range. For example, a check depositing device may receive a check deposit where the payor is associated with a different financial institution or entity. Accordingly, the check depositing device may communicate with another device associated with the payor institution or entity using LoRaWAN signals to confirm check clearance.

Abstract: Transactions may be performed using a mobile device such as a user-wearable device using LoRaWAN protocol to minimize power consumption while maximizing communication range. Transaction information may be stored in the user-wearable device and transmitted to a transaction processing device using LoRaWAN communications. Transaction information may include user-specific information, payment information, merchant information, product information, user preference information and the like. In some instances, the only communication interface (or wireless communication interface) provided in the mobile device is a LoRaWAN communication interface.

Abstract: Communication, authentication, and/or validation may be required in various types of device interactions. For example, for some types of device functions, user or device authentication may be required to confirm that the function can and should be performed. Authentication information may be communicated and authentication and/or validation may be performed using LoRaWAN signaling. LoRaWAN signaling provides low power and long-range communication capabilities to efficiently and effectively perform authentication processes. In some arrangements, LoRaWAN signals may be generated by both a first device (e.g., a user device) and a second device (e.g., a function-performing device) and subsequently compared to determine whether they correspond. This correspondence may provide the requisite authentication or validation of the first device and/or an associated user.

Abstract: Device information may be obtained using LoRaWAN communications. A device information request may be generated and transmitted by a user device and include request parameters such as a device type for which information is desired, a type of information requested, a geographic range for the request, and the like and/or combinations thereof. Device information requests may also be propagated or repeated by intermediary devices to achieve the desired request range. Accordingly, a recipient device of the original request may propagate or repeat, using LoRaWAN, a request signal if it determines that the request range has not been met. If the request range has been met, the recipient device might not repeat the request.

Abstract: Temporary firmware is provided as cloud services. Different temporary firmware containers are downloaded via a communications network. A light-weight operating system launches and executes the temporary firmware containers during a boot operation, POST operation, or other scheme. The temporary firmware containers thus detect and perhaps resolve POST errors. The light-weight operating system may also download a full-service/resource operating system. A second or subsequent boot operation may be performed, but control is ceded to the full-service/resource operating system. Multiple firmware tenants may thus be temporarily downloaded to a bare metal machine to support POST error detection activities. Advanced OS serviceability, diagnostics, and other containerized firmware may thus be quickly and simply launched without requiring the excessive time and difficulties of using the full-service/resource operating system.

Abstract: A system includes a communications interface configured to receive a plurality of data series captured by a plurality of sensors. A first database includes at least a first data series of the plurality of data series. A second database includes metadata related to the first data series. One or more processors are configured to receive an instruction including an indication of a computation to perform and metadata filter criteria, query the second database to determine at least a portion of the first data series that satisfies the metadata filter criteria by reference to at least the metadata related to the first data series, access, from the first database and based on results of the query of the second database, the portion of the first data series, and perform the computation on the portion of first data series accessed from the first database.

Abstract: Systems, computer program products, and methods are described herein for intelligent database modelling. The present invention is configured to capture, using the augmented reality application, a drawing made by the user on a medium; initiate a first machine learning model on the drawing; determine that the user is attempting to design a database model; extract at least a first entity from the drawing; determine, using the first machine learning model, one or more attributes for the first entity; initiate, via the augmented reality application, a first push notification for display on the computing device of the user; electronically receive, via the augmented reality application, a user selection of a subset of attributes from the one or more attributes; generate, using the augmented reality application, a conceptual database model based on at least the first entity and the subset of attributes.

Abstract: A system includes a virtual machine to transmit an input/output request to a data storage system and a hypervisor configured to maintain a map of the virtual machine to a virtual disk, wherein the virtual disk is a slice of a persistent storage device. A virtual machine server is configured to maintain a map of the virtual disk to a start address and an end address and to update the input/output request with the start address, the end address, and a virtual disk identifier associated with the virtual machine. A processor determines whether the start address and the end address are valid, and if the start address and the end address are valid, then process the input/output request. The response is transmitted to the input/output request.

Abstract: A processor on a computing device executes a monitoring module to perform steps that include sending a request to a baseboard management controller in the computing device to search for an event in an event log maintained by the baseboard management controller. A response is received from the baseboard management controller in response to the request and is used with a current state of the monitoring module to determine whether to send an event message to a central controller located on a network to indicate that the computing device is malfunctioning.