Abstract: A device to execute an application design plugin associated with a user interface. The device may analyze, using the application design plugin, a set of historical applications to identify one or more dependencies included in the set of historical applications. The device may provide, to a storage device, historical application metadata relating to the one or more dependencies. The device may receive, via the user interface, a request to generate an application design. The device may update the user interface with design information that includes design feature metadata identifying the one or more dependencies. The device may determine that the application design is ready for validation. The device may validate the application design based on determining that the application design is ready for validation.

Abstract: An intelligent information delivery system facilitates dynamic interaction with the user's environment, and in certain environments may provide or support digital governance. The intelligent delivery system may make use of a distributed beacon network to accurately determine the user's location within an environment, which may then be leveraged to deliver relevant content to the user. The intelligent delivery system may also facilitate complex interactions between a user of the system and the user's environment.

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: An identification and management system for log entries may filter historical data and generate closed log entries as a reference dataset. A dynamic learning engine may perform statistical modelling using the reference dataset to assign predetermined categories to each of a number of open log entries. An automation index may be generated for each of the open log entries. The automation index is indicative of accuracy of the assigned categories. Some of the open log entries may be identified as priority log entries which are representative of a group of the open log entries. The assigned category of the priority log entries may be analyzed for accuracy and the results of the analysis may be used to train the statistical model so that the open log entries may be iteratively assigned and re-assigned a category until the category of each open log entry reaches a desired accuracy.

Abstract: A plurality of coding violation indications corresponding to software code are categorized according to a plurality of coding quality attributes. The coding violation indications may be reported via static analysis tools or via manual analysis of the software code. The categorized coding violations serve as the basis for determining a plurality of code quality indices each corresponding to a respective one of the plurality of coding quality attributes. In an embodiment, the plurality of code quality indices may be further processed to determine an overall code quality index for the software code. One or more of the resulting code quality indices may be displayed to a user. In this manner, code quality indices may be provided that are directly based on coding violations reported through static analysis.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for categorizing a process using crowdsourcing are described. The methods include the action of receiving data indicating resources allocated upon execution of each of one or more processes. The methods further include the action of receiving data indicating a configuration of the client device. The methods further include receiving data indicating a user selection whether to execute each of the one or more processes. The methods further include the action of determining a risk score that reflects a likelihood that the process is a malicious process. The methods further include the action of identifying a particular process. The methods further include the action of performing additional processing on the particular process. The methods further include the action of determining an updated risk score for the particular process.

Abstract: Implementations of the present disclosure include methods, systems, and computer-readable storage mediums for enhancing digital content provided from devices, and actions of providing, by a sensor of a device, primary digital content, providing, by the device, secondary digital content, the secondary digital content indicating a context, within which the primary digital content was generated, generating, by the device, a data package including the primary digital content and the secondary digital content, and transmitting, by the device, the data package to a back-end system over a network.

Abstract: Techniques are described for metadata-driven code generation to generate code for analyzing data from clinical trial(s). A code generation engine may generate program code based on metadata that is input to the engine. The metadata may describe the data to be input to the generated code, and one or more artifacts to be output by the generated code on execution. The metadata may also describe one or more operations to be performed on the input data and/or intermediate data. The metadata may include one or more of the following: inline code to be included in the generated code; references to stored code to be included in the generated code; and/or instructions to be run to generate the code. Artifact(s) may include, but are not limited to, reports such as tables, figures, and/or listings that describe the results of analyzing or otherwise processing the data by the generated program code.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for promoting healthy behavior. The methods, systems, and apparatus include an action of receiving device capability information for multiple devices. The device capability information from each device describes capabilities of the device. Additional actions include receiving an indication of a health goal of a user and receiving health information of the user sensed by a first device of the multiple devices. Further actions include generating a health related instruction for a second device of the multiple devices based on the health information of the user sensed by the first device of the multiple devices, the health goal of the user, and the device capability information of the second device. An additional action includes providing the health related instruction to the second device.

Abstract: A device may obtain a document. The device may identify a skip value for the document. The skip value may relate to a quantity of words or a quantity of characters that are to be skipped in an n-gram. The device may determine one or more skip n-grams using the skip value for the document. A skip n-gram, of the one or more skip n-grams, may include a sequence of one or more words or one or more characters with a set of occurrences in the document. The sequence of one or more words or one or more characters may include a skip value quantity of words or characters within the sequence. The device may extract one or more terms from the document based on the one or more skip n-grams. The device may provide information identifying the one or more terms.

Abstract: A system for reconciliation comprises a determination engine to determine whether data is structured or unstructured, a data structuring engine to structure the data, and a rule extraction engine to determine relations between pairs of values of a first set and a second set of data. The system further comprises a matching engine to generate a confidence score for each pair of the values, a categorization engine to classify the pairs of values into matched pairs and unmatched pairs, a validation engine to validate matching and classification of the pairs based on a user feedback, and a learning engine to store details pertaining to the validation of the matching and the classification over a period of time. The learning engine forwards the details to the rule extraction engine and the categorization engine to determine the relations between subsequent pairs of values and classify the pairs based on the stored details.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for storing facial recognition image data in a cache. One of the methods includes receiving an image from a camera, detecting, in the received image, a face of a person, searching a biometric data cache based on the detected face, in response to searching the biometric data cache based on the detected face, determining whether the biometric data cache includes data for the person, in response to a determination that the biometric data cache includes data for the person, using the data from the biometric data cache to determine an identifier for the person, and in response to a determination that the biometric data cache does not include data for the person: searching a data storage system based on the detected face of the person to determine whether the data storage system includes data for the person.

Abstract: Systems, methods, and apparatus, including computer programs encoded on computer storage media, for obtaining, processing, and presenting data related to security events, and for implementing courses of action to protect assets in response to the security events. An event management module identifies malicious activity present on a first network domain and/or a second network domain based on received network domain activity. A threat intelligence module receives data identifying the malicious activity in first data constructs of a predefined data structure. The threat intelligence module obtains additional data related to the identified malicious activity and generates second data constructs that include enriched data regarding the malicious activity. The enriched data includes data describing a campaign in which at least a portion of the malicious activity is involved and one or more courses of action. A course of action module receives the second data constructs and implements a given course of action.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining a network security threat response. A data structure that represents communication events between computing devices of two or more network domains is received. The data structure is analyzed and a threat scenario that is based on a chain of communication events that indicates a potential attack path is determined. The chain of communication events include a sequence of communication events between computing devices proceeding from an originating computing device to a destination computing device, wherein the originating computing device and the destination computing device exist on different network domains. Attack pattern data, for the threat scenario and from a threat intelligence data source, that is associated with communications between computing devices that occurred during one or more prior attacks is received.

Abstract: A system for allocating resources to demand requests is set forth. The system is configured to identify a set of resource requirements based on a demand request. The system is also configured to choose a resource that satisfies at least one of the identified resource requirements. The system is further configured to allocate the selected resource to the demand request based on whether a client can satisfy a locking prerequisite associated with the selected resource.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for location tracking are disclosed. In one aspect, a method includes the actions of receiving, from a computing device that is configured to receive radio signals from beacons, beacon data that includes data identifying a corresponding beacon and data identifying a power level of a corresponding radio signal. The actions further include receiving, from the computing device, sensor data collected by a sensor that is located on the computing device. The actions further include based on the beacon data, determining a location of the corresponding beacon. The actions further include based on the sensor data, adjusting the location of the corresponding beacon. The actions further include generating a user interface that identifies the corresponding beacon and the adjusted location. The actions further include providing, for output, the user interface.

Abstract: A method and apparatus provides information to enhance at least one of: a sales, a service and an administrative transaction by communicating with a plurality of applications from a group of applications in accordance with rule information and based on at least two of the received: end user identification information, client identification information and transaction type information. In one example, the apparatus includes a rules engine, an application integrator, an integration and presentation module, and an integrated user interface. The rules engine causes the application integrator to communicate with a plurality of applications in accordance with the rule information, and at least two of: the end user identification information, the client identification information, and the transaction type information.

Abstract: A network component placement architecture addresses the difficult technical challenge of determining where specific technical components of an overall service may be provisioned. However, the placement decision can change over time in response to complex updates relating to service providers, the regions they support, the assets they support, and many other dynamic factors. Dynamic network component placement effectively determines updated possibilities for placing the technical components of a specified service, while meeting all of the applicable technical constraints on the placement of the technical components.

Abstract: Provisioning 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. A cloud computing provisioning architecture implements a sequence of complex technical analyzes that successfully provisions complex cloud computing services.

Abstract: Systems, methods, and apparatus, including computer programs encoded on computer storage media, for analyzing telemetry data from physical process sensors to detect anomalies within the physical process. A telemetry analytics system is disclosed as a process level anomaly detection system based on operational telemetrics and domain-specific knowledge that protects cyber physical system (CPS) devices against zero-day exploits not detectable through traditional system log or network packet inspection. The telemetry analytics system operates as a security component comparable to intrusion detection or anti-virus/anti-malware that generates alerts upon detecting anomalies in the sensor and/or activity data ingested from system or network data sources.