8X8, Inc.

Matt Taylor

Bryan R Martin

Manu Mukerji

In one example, a server system interfaces with a plurality of remotely-situated client entities to provide data communications services. The system uses processing circuitry for: accessing an archive of digital voice data indicative of transcribed audio conversations respectively involving different client stations participating in data communications; correlating a text-based message received by a virtual assistant and associated with one of the different client entities, with at least one intent or at least one topic associated with the archived digital voice data; and automatically configuring the virtual assistant, based on the text-based message being correlated and via the data-processing computer circuitry, to address or otherwise process the received text-based message.

Configuring a virtual assistant based on conversation data in a data-communications server system

Exemplary aspects involve a data-communications apparatus or system communicate over a broadband network with a plurality of remotely-located data-communications circuits respectively associated with a plurality of remotely-situated client entities. The system includes data-communications platform (e.g., UC-CC) that processes incoming data-communication interactions including different types of digitally-represented communications among which are incoming call, and that is integrated with a memory circuit including a database of information sets. Each of the information sets includes experience data corresponding to past incoming data-communication interactions processed by the platform, and with aggregated and organized data based on data collected in previous incoming interactions. The platform accesses the database and may: use past interactions and other data sources; and facilitate an automated self-service experience for users by resolving inquiries discerned through the incoming interactions; and/or effecting call-decision routing of incoming interactions to call-center agents or specialists.

Unified communications call routing and decision based on integrated analytics-driven database and aggregated data

In one example, a server system interfaces with a plurality of remotely-situated client entities to provide data communications services. The system uses processing circuitry to access an archive of voice data indicative of transcribed audio conversations between a client station and another station participating via the data communications services. Archived voice data includes keywords associated with at least one intent or at least one topic of the transcribed audio conversations. The system identifies keywords and/or identified contexts in a message (e.g., text-based message) received by a text-based virtual assistant, and correlates the text-based message with at least one intent or at least one topic by matching keywords from the archive of digital voice data with the identified keywords from the text-based message. The system may automatically configure the virtual assistant associated with the remotely-situated client entity to address the received text-based message, based on the correlation.

Exemplary aspects involve a data-communications apparatus or system communicate over a broadband network with a plurality of remotely-located data-communications circuits respectively associated with a plurality of remotely-situated client entities. The system includes a unified-communications and call center (UC-CC) platform that processes incoming data-communication interactions including different types of digitally-represented communications among which are incoming call, and that is integrated with a memory circuit including a database of information sets. Each of the information sets includes experience data corresponding to past incoming data-communication interactions processed by the platform, and with aggregated and organized data based on data collected in previous incoming interactions. The platform accesses the database and may: use past interactions and other data sources; and facilitate an automated self-service experience for users by resolving inquiries discerned through the incoming interactions; and/or effecting call-decision routing of incoming interactions to call-center agents or specialists.

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Campbell, CA, United States of America

Matt Taylor