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: 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 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: 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: 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.

Abstract: A system for rapid deployment and configuration of a virtual agent to a hosted cloud platform is provided. A virtual agent builder may convert a dialog corpus into a dialog model that includes parameters that cause a cognitive service engine to provide natural language processing for the virtual agent according to the dialog corpus. Depending on the natural language processing capabilities of the cognitive engine service, the dialog model may be included in the virtual agent or communicated to the cognitive service engine. The virtual agent, or individual components of the virtual agent, may be generated and/or reconfigured in real time using predetermined logic that is selected based on virtual agent configuration parameters. The virtual agent configuration parameters may be received from a graphical user interface that reduces the complexity of deploying and/or managing the virtual agent.

Abstract: An on-demand learning system provides an enhanced leaning environment capable of delivering relevant content on virtually any topic to specific learners. The learning system implements technical features that facilitate curation and subject matter validation of many different types of content. The technical architecture of the learning system also supports intelligent matching of learners to subject matter areas, creation of specific subject matter boards, and resilient maintenance of the boards.

Abstract: An information request processor analyzes an information request and automatically selects search queries and information sources that are responsive to the information request. Prior reports and portions of browsing history that were generated during the creation of the prior reports are selected based at least on a primary entity included in the information request. The entities extracted from the prior reports using trained Information Extraction (IE) models are mapped to the search terms extracted from the portions of the browsing history in order to identify the successful search queries that provided the information for the prior reports. A report responsive to the information request can be generated either automatically or by receiving user input that validates and rephrases the successful search queries.

Abstract: Systems and methods for entitlement tracking and control with blockchain technology are provided. A server node may receive usage information indicating usage of a licensed component by a remote device. The server node may generate a datablock that includes the usage information and append the datablock to a blockchain. The server node may acquire, from the blockchain, a license smart contract. The license smart contract may include control logic to control access to the license component. The server node may control access to the license component by the remote device based on the usage information and the control logic.

Abstract: An interactive voice adapter for adaptive voice routing may establish a real-time communication session between a voice communication client and a text communication client and the voice adapter may receive the audio stream and the text information. The voice adapter may obtain adapted natural language text corresponding to the natural language audio by selectively accessing a speech-to-text service based on a selection criteria. The voice adapter may obtain adapted natural language audio corresponding to the natural language text by selectively accessing a text-to-speech service based on the selection criteria. The voice adapter may communicate the adapted natural language text to the text communication client and the adapted natural language audio to the voice communication client.

Abstract: A method, computer-readable medium, and system for provisioning computing resources across multiple cloud providers and/or data centers are disclosed. A graphical user interface is used to select a plurality of computing resources and at least one cloud provider and/or at least one data center for providing the plurality of computing resources. Scripts associated with the at least one cloud provider and/or at least one data center are accessed, where each script is capable of automatically setting up a computing resource on an associated cloud provider or associated data center. The scripts are then used to automatically allocate and/or configure the computing resources on the at least one cloud provider and/or at least one data center. As such, computing resources can be automatically provisioned using a generic graphical user interface and without a user having skills or credentials specific to each cloud provider and/or data center.

Abstract: An interaction tracking system tracks user interactions with an application. The tracked interactions may be stored in a data structure along with information describing an application state of the tracked application resulting from the tracked interactions. The interaction tracking system stores the data structure in a database for subsequent search and retrieval, which allows different users to activate the stored data structure and initiate the application in application state described in the data structure. The interaction tracking system also transmits the data structure to other communication devices, where the data structure is activated on the receiving communication device.

Abstract: A system comprises a receiver to receive a main content. The system further comprises a detector to detect a placeholder in the main content for placement of a media object. Further, the system comprises an obtainer to obtain a plurality of media objects having placement attributes corresponding to the placeholder in the main content, where a placement attribute is indicative of characteristics of a media object compatible with the placeholder. The system further comprises a selector to select one of the plurality of media objects for being placed in the placeholder of the main content, based on a user profile. Further, the system comprises a generator to generate a final content indicative of the selected media object embedded in the main content.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for centralized management of predictive models. One of the methods includes receiving a plurality of model versions from respective teams within the organization. Each received model version is processed to generate a respective predictive model corresponding to the model version, including identifying one or more collections of training data specified by the model version, identifying one or more training engines specified by the model version, training, by the identified one or more training engines, a predictive model using the identified one or more collections of training data, computing one or more performance metrics for the predictive model, and associating the one or more performance metrics for the predictive model with the corresponding model version in the version repository.