Abstract: Methods, systems, and apparatus for receiving, by a voice action system, data specifying trigger terms that trigger an application to perform a voice action and a context that specifies a status of the application when the voice action can be triggered. The voice action system receives data defining a discoverability example for the voice action that comprises one or more of the trigger terms that trigger the application to perform the voice action when a status of the application satisfies the specified context. The voice action system receives a request for discoverability examples for the application from a user device having the application installed, and provides the data defining the discoverability examples to the user device in response to the request. The user device is configured to provide a notification of the one or more of the trigger terms when a status of the application satisfies the specified context.

Abstract: A system for creating and managing an artificial conversational entity using an artificial intelligence (AI) based communications system is disclosed. The system may comprise a data access interface to receive instructions with configuration details from a requestor to create an artificial conversational entity, as well as data from a data source. The system may comprise a processor to generate the artificial conversational entity by: identifying a data source type associated with the data; performing data treatment on the received data based on the data source type in order to focus data on at least one targeted topic; determining and applying a compression technique to the received data; performing an intellective computing technique on the compressed data; performing a synoptic evaluation of the data; and generating an executable based on the synoptic evaluation.

Abstract: Implementations are directed to receiving delivery order data for delivery of the tangible asset, the delivery order data including a unique identifier associated with a mobile device of a recipient, receiving evidence data from the mobile device of the recipient, providing an order record stored in a distributed ledger system, the order record including at least a portion of the delivery order data, and the evidence data, determining that the tangible asset is to be handed over to the recipient, and in response: collecting delivery evidence data, providing the delivery evidence data for comparison to the evidence data, and receiving a validation result based on the comparison, and selectively indicating that the tangible asset has been handed over to the recipient at least partially based on the validation result, and updating the order record stored in the distributed ledger system.

Abstract: A distributed key-value database management system may provide transactions having a high degree of conformance to ACID properties. A data element may be maintained as a versioned list, where each entry may comprise a timestamp and a value indicative of a corresponding version of the data element. The timestamp may be based at least in part on a vended time value. Timestamps may be monotonically increasing and unique across all entries in a distributed system. Conflicting updates to a data element may be detected directly, prior to the completion of involved transactions.

Abstract: A device may receive form analysis information to be used to analyze a form for an organization. The form analysis information may include an industry profile associated with the organization, a government regulation that governs the organization, and a form field justification that indicates a justification for including a particular field in the form. The device may analyze the form based on the form analysis information and based on one or more fields included in the form. The device may generate one or more scores for the one or more fields based on analyzing the form. The one or more scores may be generated based on the industry profile, the government regulation, and the form field justification. The device may perform one or more automated actions in association with the form based on the one or more scores.

Abstract: Examples of an intelligent persona generation system are provided. In an example, the system receives an image and an identity creation requirement from a user. The system implements an artificial intelligence component to sort the sort the image into a plurality of objects. The system may identify a principal object from evaluation of the plurality of objects. The system may identify at least one parameter associated with the identity creation requirement and receive associated parameter data from a pre-existing library coupled to the processor. The system may determine a parameter set from the parameter data, associated with the principal object by performing a first cognitive learning operation. The system may implement a second cognitive learning operation on the principal object and the parameter set associated with the principal object to determine an identity model indicative of an identity creation relevant for processing the identity creation requirement.

Abstract: The present invention provides concepts related to a computing platform for integrating a plurality of data collected from a plurality of sources. The present invention comprises of authentication of one or more users to provide an access to a computing platform. Further, one or more jobs are scheduled on a web server to fetch the plurality of data from the plurality of sources. The web server is further polled for fetching the plurality of data and this fetched plurality of data is aggregated based on one or more user defined rules. Furthermore, the aggregated data is stored in a content repository and further analysed based on the user defined rules. The analysed data is then stored in a database. Further, the data is streamed based on one or more request received from the web server and rendering the same to the users.

Abstract: Implementations are directed to receiving a first set of event data from a first data source, the first set of event data including data representative of an occurrence of a real-world event, providing an event ticket, the event ticket including at least a portion of data of the first set of event data, transmitting presentation data to one or more computing devices, the presentation data being based on the event ticket and being processable by the computing device to display a real-time view including one or more graphical representations representative of the real-world event, receiving a second set of event data from a second data source, the second set of event data including data associated with the real-world event, revising the event ticket to include at least a portion of data of the second set of event data to provide a revised event ticket, and transmitting revised presentation data to one or more computing devices, the revised presentation data being based on the revised event ticket and being proc

Abstract: A device may receive information identifying a development project. The device may determine a set of scripts to assess program code of the development project. The device may execute the set of scripts to perform a project assessment of the development project after determining the set of scripts. The device may generate a user interface including information identifying a result of executing the set of scripts. The result may include information associated with detecting an execution type of error or information associated with detecting a non-execution type of error. The device may communicate with a client device to provide the user interface for display via the client device.

Abstract: Examples of an intelligent persona generation system are provided. In an example, the system receives an image and an identity creation requirement from a user. The system implements an artificial intelligence component to sort the sort the image into a plurality of objects. The system may identify a principal object from evaluation of the plurality of objects. The system may identify at least one parameter associated with the identity creation requirement and receive associated parameter data from a pre-existing library coupled to the processor. The system may determine a parameter set from the parameter data, associated with the principal object by performing a first cognitive learning operation. The system may implement a second cognitive learning operation on the principal object and the parameter set associated with the principal object to determine an identity model indicative of an identity creation relevant for processing the identity creation requirement.

Abstract: A system for creating and managing an artificial conversational entity using an artificial intelligence (AI) based communications system is disclosed. The system may comprise a data access interface to receive instructions with configuration details from a requestor to create an artificial conversational entity, as well as data from a data source. The system may comprise a processor to generate the artificial conversational entity by: identifying a data source type associated with the data; performing data treatment on the received data based on the data source type in order to focus data on at least one targeted topic; determining and applying a compression technique to the received data; performing an intellective computing technique on the compressed data; performing a synoptic evaluation of the data; and generating an executable based on the synoptic evaluation.

Abstract: Implementations are directed to receiving delivery order data for delivery of the tangible asset, the delivery order data including a unique identifier associated with a mobile device of a recipient, receiving evidence data from the mobile device of the recipient, providing an order record stored in a distributed ledger system, the order record including at least a portion of the delivery order data, and the evidence data, determining that the tangible asset is to be handed over to the recipient, and in response: collecting delivery evidence data, providing the delivery evidence data for comparison to the evidence data, and receiving a validation result based on the comparison, and selectively indicating that the tangible asset has been handed over to the recipient at least partially based on the validation result, and updating the order record stored in the distributed ledger system.

Abstract: A device may receive information identifying a development project. The device may determine a set of scripts to assess program code of the development project. The device may execute the set of scripts to perform a project assessment of the development project after determining the set of scripts. The device may generate a user interface including information identifying a result of executing the set of scripts. The result may include information associated with detecting an execution type of error or information associated with detecting a non-execution type of error. The device may communicate with a client device to provide the user interface for display via the client device.

Abstract: A device may receive form analysis information to be used to analyze a form for an organization. The form analysis information may include an industry profile associated with the organization, a government regulation that governs the organization, and a form field justification that indicates a justification for including a particular field in the form. The device may analyze the form based on the form analysis information and based on one or more fields included in the form. The device may generate one or more scores for the one or more fields based on analyzing the form. The one or more scores may be generated based on the industry profile, the government regulation, and the form field justification. The device may perform one or more automated actions in association with the form based on the one or more scores.

Abstract: Implementations are directed to receiving a first set of event data from a first data source, the first set of event data including data representative of an occurrence of a real-world event, providing an event ticket, the event ticket including at least a portion of data of the first set of event data, transmitting presentation data to one or more computing devices, the presentation data being based on the event ticket and being processable by the computing device to display a real-time view including one or more graphical representations representative of the real-world event, receiving a second set of event data from a second data source, the second set of event data including data associated with the real-world event, revising the event ticket to include at least a portion of data of the second set of event data to provide a revised event ticket, and transmitting revised presentation data to one or more computing devices, the revised presentation data being based on the revised event ticket and being proc