Embodiments of the present invention disclose a transmission method, where the method includes: starting a session between a terminal and a peer terminal; detecting whether information transmitted in the session satisfies a trigger condition; and if the information satisfies the trigger condition, acquiring an image, and sending the image to the peer terminal, where the information transmitted in the session includes text information or voice information. According to the present invention, information transmission efficiency can be improved.

Technologies are presented directed to uploading of attachments to a relevant group cloud storage at send time. A communication application and/or service may suggest to a user to upload an attachment of an outgoing communication to a group cloud storage upon generation of the communication. Suggestion of group may be based on last use, document type, content, user(s), which account the user is in, and comparable factors. The user (or sender) may also be provided with options to set permissions for the attachment based on the upload destination selection. In some examples, upload of work documents to personal cloud storage may be prevented and suitable groups may be selected for user that are part of multiple groups.

A method includes storing, by one or more computer processors, a plurality of blocks in a queue, wherein each block includes at least one received message, and wherein each block is associated with a time that the block was stored in the queue. The method further includes designating, by the one or more computer processors, as inactive one or more blocks having associated storage times that are older than a first time. The method further includes reading, by the one or more computer processors, messages from inactive blocks until a second time that is older than the first time. The method further includes deleting, by the one or more computer processors, one or more inactive blocks from the queue having associated storage times that are older than the second time.

A method for more efficient structural parsing of binary representations of text based objects within a data distribution system. Clients subscribe to a topic maintained by the data distribution system server that publishers can publish to. Clients receive an original binary representation of a text based object describing the state of the topic to which the client is subscribed. In response to the state of the topic changing at the data distribution system server, clients receive a binary delta representing the change of the state of the topic. Based on the received binary representation and the binary delta, clients calculate an updated binary representation of the text based object. Using the original binary representation, the updated binary representation, and the binary delta, the client generates a structural delta representing the structural differences between data structures of the original text based object and data structures of the updated text based object.

A method for more efficient structural parsing of binary representations of text based objects within a data distribution system. Clients subscribe to a topic maintained by the data distribution system server that publishers can publish to. Clients receive an original binary representation of a text based object describing the state of the topic to which the client is subscribed. In response to the state of the topic changing at the data distribution system server, clients receive a binary delta representing the change of the state of the topic. Based on the received binary representation and the binary delta, clients calculate an updated binary representation of the text based object. Using the original binary representation, the updated binary representation, and the binary delta, the client generates a structural delta representing the structural differences between data structures of the original text based object and data structures of the updated text based object.

Systems and methods of the present disclosure facilitate managing information technology service level agreements. In some embodiments, the system includes a server that accesses a database storing a support ticket in memory. The support ticket can include a creation time and a service level agreement. The service level agreement can include a maximum response time. The server initiates, via the computer network, responsive to input from a computing device, a chat session associated with the computing device and the support ticket. The initiating can be associated with a time stamp. The server can be configured to determine a compliance with the service level agreement. The compliance can be computed as a difference between the time stamp and the creation time being less than the maximum response time. The server can be configured to generate a notification of the compliance with the service level agreement.

Systems and methods of the present disclosure facilitate managing information technology service level agreements. In some embodiments, the system includes a server that accesses a database storing a support ticket in memory. The support ticket can include a creation time and a service level agreement. The service level agreement can include a maximum response time. The server initiates, via the computer network, responsive to input from a computing device, a chat session associated with the computing device and the support ticket. The initiating can be associated with a time stamp. The server can be configured to determine a compliance with the service level agreement. The compliance can be computed as a difference between the time stamp and the creation time being less than the maximum response time. The server can be configured to generate a notification of the compliance with the service level agreement.

An electronic messaging system and method with reduced traceability by separation of display of a media component of message content and header information. An electronic message having an identifier of a recipient and a message content including an image media component is received at a server from a sending user device at which a display for associating the media component with the electronic message is provided without displaying the identifier of a recipient with the media component such that a single screen capture of the identifier of a recipient and the media component is prevented. The electronic message including an identifier of a sending user is transmitted to a recipient user device at which a display presenting the media component is provided without displaying the identifier of a sending user such that a single screen capture of both the identifier of a sending user and the media component is prevented.

An electronic messaging system and method with reduced traceability by separation of display of a media component of message content and header information. An electronic message having an identifier of a recipient and a message content including an image media component is received at a server from a sending user device at which a display for associating the media component with the electronic message is provided without displaying the identifier of a recipient with the media component such that a single screen capture of the identifier of a recipient and the media component is prevented. The electronic message including an identifier of a sending user is transmitted to a recipient user device at which a display presenting the media component is provided without displaying the identifier of a sending user such that a single screen capture of both the identifier of a sending user and the media component is prevented.

A system for producing conversation-driven character animation includes a computing platform having processing hardware and a system memory storing software code, the software code including multiple trained machine learning (ML) models. The processing hardware executes the software code to obtain a conversation understanding feature set describing a present state of a conversation between a digital character and a system user, and to generate an inference, using at least a first trained ML model of the multiple trained ML models and the conversation understanding feature set, the inference including labels describing a predicted next state of a scene within the conversation. The processing hardware further executes the software code to produce, using at least a second trained ML model of the multiple trained ML models and the labels, an animation stream of the digital character participating in the predicted next state of the scene within the conversation.