Abstract: A device may receive a request for a service management plan that is to be used to implement a fully-integrated enterprise resource planning (ERP) system for an organization. The device may receive organizational data associated with the organization. The device may determine, based on the organizational data, observations that serve as hypotheses for deficiencies associated with a current state of a system of the organization. The device may identify, based on the observations, priorities that define a target state for the fully-integrated ERP system that is to be generated. The device may select, based on a machine-learning-driven analysis of the observations and the priorities, a recommendation for a configuration of the fully-integrated ERP system. The device may generate, based on the recommendation, the service management plan for the organization. The device may perform a set of actions to cause the configuration to be implemented.

Abstract: A process-enabled collaboration system integrates the collaboration tools and applications needed for a remote project into a single portal. The collaboration system identifies the type of project to be performed, and generates a custom collaboration site tailored to the specific project. The custom collaboration site provides a convenient and direct relationship between remote members of a project team and the collaborative tools and information they will use.

Abstract: A multi-layer resource control stack based system may generate an availability indication for multiple domains supported by the resource control stack and send the indication to a client node. The client node may respond with a selection of a domain. The client node may also indicate a compute resource to be managed by the resource control stack. In response to the selection from the client node, the resource control stack may initiate a virtual representation of the domain. The client node may interact with the virtual representation to receive recommendations, utilization data, and control information relevant to the compute resource and within a subject area associated with the domain.

Abstract: Cloud service based on container technology provides a lightweight, portable, but robust architecture for deploying service applications. Service volume and resource requirement for a typical modern-day application may fluctuate dramatically in time. A dynamic resource allocation scheme based on machine learning algorithms and executed by the cloud for applications deployed as independent containers allows for efficient resource usage and improvement of quality of service for the applications.

Abstract: A system and method for generating and adapting a test case is provided. The system may process an application prototype to extract information regarding the navigational flow of the application prototype and information regarding one or more GUI components used therein. The system may also generate a prototype test suite based on the application prototype that includes one or more test cases for testing the functionality of the application once implemented. The system may also process a production application to extract information regarding the navigational flow of the production application and information regarding one or more GUI components used therein. The system may identify differences between the production application and prototype and may automatically adapt the prototype test suite and generate an application test suite capable of testing the production application.

Abstract: Implementations are directed to receiving a multi-dimensional data set including, for each device in a set of devices of a monitoring system, a feature set over a respective time period and over devices in the set of devices, processing multi-dimensional data to identify sets of features recorded by respective devices in the set of devices of the monitoring system, comparing a feature set of a first device relative to a feature set of a second device in a location dimension to determine that a first feature in the feature set of the first device corresponds to a second feature in the feature set of the second device, and providing a sequence of feature sets by selecting appropriate feature sets from the multi-dimensional data set based on the comparison, the sequence providing an order of progress of an object between the feature sets of the set of devices.

Abstract: An idea recognition tool utilizes natural language processing techniques to capture, understand, and identify ideas that are mentioned by speakers during a conversation involving multiple speakers, and tag ideas attributed to their speaker accordingly. The idea recognition tool also autonomously triggers search operations to obtain supplemental information for enriching the underlying identified ideas. The identified ideas and supplemental information are grouped, classified, and formatted into a dedicated format for further analysis, as well as considered for implementing relevant actions.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating rules to apply to fare transactions when a fare card reader cannot communicate with an authorization server, for generating historical data and a risk score for a fare card that are used by a fare card reader, with the rules, to determine whether to authorize access to a transit service when the fare card reader cannot communicate with the authorization server, and for selectively permitting or denying access to the transit service using the rules and the historical data or the score for a fare card.

Abstract: The global proliferation of high speed communication networks has created unprecedented opportunities for geographically distributed resource identification, evaluation, selection, and allocation. However, while the opportunities exist and continue to grow, the realization of those opportunities has fallen behind. A dynamic resource assessment system helps to solve the enormous technical challenges of finding the resources, evaluating the resources, and determining how to allocate the resources to achieve the highest likelihood of successfully completing the task.

Abstract: An optimized test data selection strategy references a sampling file that identifies data attributes that serve as the basis of the test data selection strategy. By analyzing fields and the corresponding field values of the sample imprint, a total number of test data selected for inclusion into a sample dataset is reduced. The test data selection strategy provides an efficient methodology for implementing a data comparison testing process.

Abstract: An application-centric continuous delivery (ACCID) architecture provides a service that automates the configuration and management of end-to-end application lifecycle management (ALM) tools, through an innovative application-centric metadata model that can be customized through a self-service portal. With the ACCID architecture, IT organizations can provide version management, build automation, test automation, artifact management, infrastructure build, and automated application deployment that is consistent with global IT policy and governance and delivered as a service to organizations. The ACCID architecture references customized application metadata models that describe the application services, ALM requirements, and target infrastructure, to employ end-to-end automation of: the software deployment lifecycle and promotion across application environments, e.g., Development, Test, Pre-Production, and Production environments, using private, public, or hybrid cloud deployment models.

Abstract: A method may include receiving, by a device, an input sample of textual content. The method may include identifying, by the device, a comparison sample that is semantically similar to the input sample. The comparison sample may be identified based on a similarity score, of the comparison sample and the input sample, satisfying a semantic similarity threshold. The method may include identifying, by the device, a plurality of output samples of textual content based on acceptance information corresponding to the plurality of output samples and the comparison sample. The acceptance information may be determined based on a user input regarding similarity or relevance of the plurality of output samples and the comparison sample, and the user input may be received before the input sample is received.

Abstract: A device may provide a user interface for receiving a set of project variables for a replacement project. The device may receive the set of project variables for the replacement project via the user interface. The replacement project may include a decision regarding replacing a product. The device may determine a set of deployment strategies associated with the replacement project based on the set of project variables. Each deployment strategy, in the set of deployment strategies, may be associated with a type of replacement, a timeframe for deployment of the type of replacement, and a geographical scope for deployment of the type of replacement. The device may determine a set of end-to-end cost scores for the set of deployment strategies. The device may provide information identifying a deployment strategy of the set of deployment strategies based on the set of end-to-end cost scores for the set of deployment strategies.

Abstract: A device may provide a user interface to a user device for inputting contract information. The device may receive the contract information from the user device via the user interface. The contract information may include information about a contract between a first party and a second party, and information about a relationship between the first party and the second party. The device may determine values for risk variables based on the contract information. The device may determine a risk score based on the values for the risk variables. The risk score may indicate a likelihood that the second party will renew the contract. The device may provide risk information to the user device to be displayed via the user interface. The risk information may indicate the risk score.

Abstract: A device may receive test scripts that include first information identifying first elements of user interfaces or second information identifying test steps. The test scripts may be written in first text or first program code. The device may process the first text or the first program code of the test scripts. The device may identify the first elements on the user interfaces. The first elements may be identified without using second program code associated with the user interfaces. The first elements may be identified based on a type of the first elements, second text associated with the first elements, or a relationship between the first elements and second elements. The device may identify positions for the first elements. The positions may permit the device to interact with the first elements to perform the test steps. The device may perform the test steps to test the user interfaces.

Abstract: A system includes circuitry for rewriting blockchains in a non-tamper-evident or tamper-evident operation by a trusted party during a rewrite-permissive phase. During a rewrite-embargoed phase, at least one trusted party with rewrite access during the rewrite-permissive phase may have rewrite access revoked. In some implementations, rewrite access may be implemented by controlling access to a key secret for the blockchain. In some cases, access to the key secret may be changed by deleting the key secret or by changing access permissions for a particular device.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for identifying people depicted in images. In one aspect, a process includes receiving an image from a camera. A face of a person is detected in the image. The image is compared to a set of images stored in a local cache. A determination is made whether the face of the person matches a face of a person depicted by at least one image of the set of images. In response to determining that the face of the person does not match a face of a person depicted by at least one image of the set of images, a selection is made of a highest quality image of the face of the person. A server system compares the highest quality image to images from data for the multiple people to identify the person.

Abstract: Computerized methods and systems, including computer programs encoded on a computer storage medium, may detect event shown within digital video content captured by one or more video cameras, and correlate these detected events to real-world conditions that may not be captured within the digital video data. For example, a computing system may detect events shown within digital video content captured by one or more video cameras, and may obtain data that identifies at least one external event. The computer system may establish a predictive model that correlates values of event parameters that characterize the detected and external events during a first time period, and may apply the predictive model to an event parameter that characterizes an additional event detected during a second time period. Based on an outcome of the predictive model, the computing system may determine an expected value of the external event parameter during the second time period.

Abstract: A device receives a request to publish content for different computing platforms, and receives the content to be published for the different computing platforms. The device reconfigures the content for the different computing platforms, based on one or more labeled categories of information, to generate different reconfigured content, and compiles the different reconfigured content, based on the one or more labeled categories of information, to generate different compiled content for the different computing platforms. The device provides at least one of the different compiled content to a client device associated with at least one of the different computing platforms.

Abstract: Electronically received data is validated based on a digital data image that is scanned from a paper document. Known paper document source entities, paper document types and associated paper document configuration information are stored in a database. The paper documents are converted to digital data images and optically processed to identify respective source entity and document type information represented within the digital data images. Appropriate document configuration information is retrieved based on association with the detected type of document. Validation target data is extracted from the digital data images based on the configuration information and processed. The electronically received data is validated based on the extracted and processed validation target data.