Zoom Video Communications, Inc.

Zoom Communications, Inc.

Mengxiao Qian

Min Xiao-Devins

Stephen Muchovej

Xiaoli Song

Davide Giovanardi

Helgi Hilmarsson

Fangyi Zhao

Hui Wen

Melinda Min Xiao-Devins

Fengcai Sun

Jian Jin

Haifeng Geng

Methods and systems provide an asynchronous pipeline for artificial intelligence service requests. In one embodiment, the system receives, at a gateway service, access to content associated with a communication session; sends, to an artificial intelligence (AI) cluster including a number of AI services, a data payload, the data payload including a location to access the content and a number of requests for AI services to be performed by one or more AI models hosted on the AI cluster using the content as an input; receives one or more AI service results as the AI cluster completes the corresponding requests for the AI services; and stores each received AI service result in one or more databases.

Asynchronous pipeline for artificial intelligence service requests

Methods and systems provide for dynamically generated topic segments for a communication session. In one embodiment, the system connects to a communication session with a number of participants; receives a list of topics; receives a transcript of a conversation between the participants produced during the communication session, the transcript including timestamps for a number of utterances associated with speaking participants; for each topic in the list of topics, segments the utterances into one or more topic segments based on the topic; for each of the segments, classifies whether the topic segment is related to the topic, and transmits, to one or more client devices, a list of the topic segments for the communication session.

Dynamic communication session topic generation

Voicemail spam detection is performed based on content of voicemail messages. The content of an incoming voicemail message is compared to a spam template that includes a representation of a spam voicemail. Spam templates may be generated based on spam indications provided by users for voicemail messages they have received. User indications for sufficiently similar voicemail messages may be aggregated by maintaining a vote count for a spam template that reflects how many times a user has indicated a matching voicemail message is spam. A spam template may also include an occurrence count that reflects how many times voicemail messages matching a spam template have been detected in a telephony system. An incoming voicemail message may be compared to spam templates and, responsive to a match of content and/or a corresponding vote count or occurrence count meeting a condition, the voicemail message may be identified as spam.

Voicemail spam detection

Dynamically generated topic segments for a communication session

Growing community of inventors

Santa Clara, CA, United States of America

Mengxiao Qian