Abstract: A device may identify a ticket associated with an issue, a user associated with resolving the issue, and a particular business process including a particular business process step associated with the issue. The device may present information regarding a particular business process workflow, corresponding to the particular business process, associated with a business process steps. The device may identify the particular business process step from the business process steps, and may identify a particular technical solution corresponding to the particular business process step. The device may present information regarding a particular technical solution workflow, corresponding to the particular technical solution, associated with technical solution steps. The device may identify a particular technical solution step, from the technical solution steps, associated with resolving the issue.

Abstract: An electronic certificate system facilitates the secure application of certificates against wireless data transfers with a distributer system by a device user. A certificate enabled device carried by the user stores electronic certificates in memory. When the distributer system detects a certificate enabled device within a proximity radio frequency field, the distributer system queries and obtains applicable certificates for the user from the certificate enabled device carried by the user, applies the certificates to a data transfer, and securely communicates the resulting data transfer metadata back to the certificate enabled device.

Abstract: A device may receive input data regarding a particular field of analysis. The device may determine a mapping of a set of metrics of the input data to a set of coordinates. The device may generate a representation of the set of metrics based on the mapping of the set of metrics. A group of pixels may be caused to provide a particular visualization corresponding to a value of a particular metric mapped to a particular coordinate based on the mapping of the set of metrics. The device may provide a plurality of versions of the representation. The particular metric may map to the particular coordinate in each of the plurality of versions of the representation. The plurality of versions of the representation being associated with one or more changes to a particular parameter of the input data.

Abstract: Summarizing, the application relates to a machine-learning system for adaptively changing a matching threshold of a biometric system. The machine-learning system comprises a batch aggregator device operable to receive input data from the biometric system via a communication interface and to aggregate a batch of at least some of the received input data. The machine-learning system further comprises a learning expert device operable to compute a new suggestion for a matching threshold value of the biometric system based on the aggregated batch. Finally, the machine-learning system comprises an output device operable to output the computed new suggestion for the matching threshold of the biometric system via the communication interface.

Abstract: An extensible single point orchestration system receives service requests from applications. In dependence upon the service request a single third party provider service or multiple third party provider services is identified. When the single third party provider service is identified, the system dynamically adapts a core capability service, using a stored configuration entity, so as to set an appropriate message format and transmit a service call message to an external API of the identified single third party provider service. When multiple third party provider services are identified, the system dynamically adapts the core capability service, using another stored configuration entity, so as to set a respective appropriate message format for parallel data transmission of service call messages to each of the respective identified third party provider services and transmits the service call messages to respective external APIs of each of the third party provider services.

Abstract: This document describes systems, methods, devices, and other techniques for video camera self-calibration based on video information received from the video camera. In some implementations, a computing device receives video information characterizing a video showing a scene from a field of view of a video camera; detects an object that appears in the scene of the video; identifies a visual marking that appears on the detected object; determines a particular visual marking among a plurality of pre-defined visual markings that matches the visual marking that appears on the detected object; identifies one or more object characteristics associated with the particular visual marking; evaluates one or more features of the video with respect to the one or more object characteristics; and based on a result of evaluating the one or more features of the video with respect to the one or more object characteristics, sets a parameter of the video camera.

Abstract: Successfully deploying resources into the cloud is a constantly increasing technical challenge as more cloud service providers emerge, each offering disparate computing platforms, services, assets, supported technical components, and other features, including serverless execution. An infrastructure build and collaboration architecture for serverless execution environments solves the technically complex challenges around allowing developers to work independently in physically separated locations. To this end, the architecture allows shared object repositories to be brought together when required and provides an object-model for defining resources without requiring the developer to have complete expert knowledge of the target deployment language. The architecture also enforces policy for both software design and infrastructure, and performs deep validation of the infrastructure built for the developer.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, that relate to obtaining data that indicates a time that a MAC address was detected at a temporary site, obtaining data that indicates a time that a MAC address was detected at a non-temporary site, obtaining data that indicates that a first interaction with a first item occurred at the temporary site, obtaining data that indicates that a second interaction with a second item occurred at the non-temporary site, determining, that the MAC addresses match, determining that the time that the MAC address was detected at the temporary site occurred before the time that a MAC address was detected at the non-temporary site, determining that the first item and the second item match, and classifying the detection of the MAC address at the non-temporary address as being caused by the temporary site.

Abstract: A device may identify a tool operating on a first device for integration into a lifecycle management platform operating on a second device. The tool may be associated with providing a functionality not included in the lifecycle management platform. The first device may be external to the second device. The device may determine a set of tool attributes for data events associated with the tool. The data events may include a data input, a data output, a new message, an updated message, a deleted message, or the like. The device may select a message format based on the set of tool attributes. The device may configure adaptation for a tool application programming interface (API) of the tool and a platform API of the lifecycle management platform based on the message format. The device may provide information associated with configuring adaptation for the tool API and the platform API.

Abstract: A system includes circuitry for wrapping up blockchains into blockchain loops. A blockchain may include a series of blocks extending from an initial block to a terminal block. The circuitry may wrap-up the blockchain by storing an integrity output coding-consistent with the terminal block within the initial block. In some cases, when the terminal block and initial block include end blocks for the blockchain, wrapping-up the series may form a closed-loop.

Abstract: This document describes systems, methods, devices, and other techniques for video camera scene translation. In some implementations, a computing device accesses a first video that shows a first 2D scene of an environment; defines a trip wire at a first position of the first 2D scene; obtains a 3D model of at least a portion of the environment shown in the first 2D scene; maps the trip wire from the first position of the first 2D scene to a first position of the 3D model that corresponds to the first position of the first 2D scene; accesses a second video that shows a second 2D scene of the environment; and projects the trip wire from the first position of the 3D model to a first position of the second 2D scene that corresponds to a same location in the environment as the first position of the first 2D scene.

Abstract: A device may receive testing instructions, for testing a computer program product, in a first format. The testing instructions may include testing data and a testing script. The testing data and the testing script may be associated with the first format. The device may identify a set of commands in the first format. The device may extract the set of commands from the first format. The device may convert the testing instructions from the first format to a second format based on extracting the set of commands. The device may execute the testing instructions based on the second format.

Abstract: A system maintains, generates, and manages infrastructure layouts. The infrastructure layouts include structural relationships for the handling of received sensor data. The infrastructure layouts may be traversed to determine datastore options for the sensor data and contextual information that may be used to enrich the received sensor data.

Abstract: Data conversion circuitry receives structured records including normalized data and performs a data conversion process on the structured records to generate unstructured records including unstructured syntax. The data conversion circuitry performs the data conversion process according to an unstructured syntax requirement including a syntax field mapping between the structured records and the generated unstructured records.

Abstract: A project team identification tool utilizes media components and sensors installed throughout a smart building, to detect individual persons and groups of people gathered together within the smart building. After detecting the people that are present within the smart building, the PTI tool references employee profile information to identify the detected people. The PTI tool is further configured to predict a project team the identified people belong to, as well as one or more projects associated with the predicted project teams. The PTI tool utilizes the advanced technology offered by the smart building to provide a unique solution for seamlessly identifying a project team of people meeting within the smart building.

Abstract: Proximity-based peer-to-peer collaborative playlists over wireless networks are provided. In some embodiments, a first mobile device sends a name for a media playlist to a server. The first mobile device receives from the server a media playlist identifier corresponding to the media playlist. The first mobile device sends a wireless advertisement for the media playlist. The wireless advertisement comprises the media playlist identifier. The first mobile device receives at least one media playlist modification request from a second mobile device. The at least one media playlist modification request is received via the server.

Abstract: Methods, systems, and apparatus for generating workplace movement visualizations. A method includes receiving a request for a user interface presentation that presents time spent by individuals in productive areas of a work site; receiving data specifying the presence of a plurality of personal wireless beacons within each of a plurality of areas of the worksite, wherein a first area of the plurality of areas is designated a productive area and wherein a second area of the plurality of areas is designated a nonproductive area; computing, for each of a plurality of time periods, a respective count of individuals within the first area designated as a productive area; generating a user interface presentation that presents the respective counts of individuals within the productive area; and providing the generated user interface presentation in response to the request.

Abstract: Implementations are directed to providing an exemplar electronic document (EED) with actions including receiving input that is at least partially representative of a subject, receiving a plurality of stored subjects, each including data representative of a respective stored subject, and provided in a knowledge graph, processing the input based on semantic comparison between the input and each of the stored subjects to provide a set of semantic differences, each semantic difference representing the input and a respective stored subject, processing a profile in view of each of a plurality of other profiles to provide a set of semantic correlations, each semantic correlation representing the profile and a respective other profile, and providing the EED based on the sets of semantic differences and semantic correlations, the EED including at least a portion of the input, and respective portions of each of a plurality of stored subjects based on respective scores.

Abstract: Techniques are described for adaptive and augmented decision making by an artificial intelligence (AI) engine, such as an engine that employs machine learning techniques. A decision-making process may be executed to make a decision regarding operations of the organization, and the AI engine may be employed to analyze the various aspects of a decision and determine a risk level associated with the decision. The risk level may be a combination of the probability of a negative outcome and a magnitude of loss that may occur due to a negative outcome. The automated process may also determine a confidence level that indicates a degree of confidence in the determined risk level. Risk and confidence may be independent values. Implementations may enable risk mitigation by providing a risk estimate with higher confidence than traditional methods.

Abstract: This disclosure generally relates to devices, systems, and computer-implemented methods for simulating one or more inventories in a distribution network. Specifically, methods are described that comprise the operations of receiving inventory data for one or more inventories to be simulated, wherein the inventory data includes lead time data and demand data; determining, based on the inventory data, probability distributions for each of lead time and demand for the one or more inventories to be simulated; determining a lead time demand probability distribution of the one or more inventories to be simulated based on the determined probability distributions for the lead time and the demand; determining a predictive state of the one or more inventories to be simulated based on the lead time demand probability distribution; and outputting one or more evaluation parameters associated with the predictive state of the one or more inventories to be simulated.