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: 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: 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 method for assessing and improving a presence and perception of an entity includes, for one or more presence categories of data sources, determining a number of data sources in a presence category on which the entity has a presence to thereby determine a presence score for the entity. The presence score increases as the number of data sources upon which the entity has a presence increases. For each of a plurality of comments posted on one or more social media sources, the method also includes determining a perception category and sentiment score associated with each comment that is related to the entity to thereby determine a perception score for the entity. A higher perception score indicates that, on average, users have a higher perception of the entity. The method also includes generating a recommendation for improving one or more of the presence score and perception score of the entity based on the determined presence score and the determined perception score.

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 method for assessing and improving a presence and perception of an entity includes, for one or more presence categories of data sources, determining a number of data sources in a presence category on which the entity has a presence to thereby determine a presence score for the entity. The presence score increases as the number of data sources upon which the entity has a presence increases. For each of a plurality of comments posted on one or more social media sources, the method also includes determining a perception category and sentiment score associated with each comment that is related to the entity to thereby determine a perception score for the entity. A higher perception score indicates that, on average, users have a higher perception of the entity. The method also includes generating a recommendation for improving one or more of the presence score and perception score of the entity based on the determined presence score and the determined perception score.

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