Ringcentral, Inc.

Ivan Gennadevich Anisimov

Helen Prask

Vadim Zhuk

William Zhuk

Yuri Ardulov

Igor Rusinov

Alexey Petrovich Zhuk

Aleksei Nikolaevich Dziubenko

Kira Makagon

A computer-implemented machine learning method for improving a collaboration environment is provided. The method comprises receiving text data for one or more users of the collaboration environment. The method further comprises generating a statement by partitioning the text data. The method further comprises determining an act using the statement and generating a thread using at least the statement and the act. The method further comprises generating an actor list using at least the thread, and generating an actionable item using the actor list and the thread.

Systems and methods for structuring information in a collaboration environment

Systems and methods are provided for generating application data from call data. In one implementation, a method includes acquiring call data from a call-data source with a call-data aggregator; modifying a portion of the call data with a call-data modifier; and generating application data from the portion of the call data. Application data may be configured for diagram generation. The diagram may graphically indicate call volume in branches of an interactive voice response (IVR) system map. The diagram may be a flow diagram including a connector associated with a branch of the IVR system map and the connector may have a width proportional to a call volume in the branch of the IVR system map. The diagram may indicate call-portion durations, which may be associated with a phase of a call and which may have a color associated with a phase of a call.

Systems and methods for generating application data from call data

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for evaluating the quality of a communication session. One of the methods includes identifying, by a communication system, a communication session between one or more users of the communication system, wherein, during the communication session, session data is routed between a first communications device of a first user of the communication system and one or more other communications devices along a communication path; obtaining, from each of a plurality of communication nodes along the communication path, quality data relating to a quality of the communication session at the communication node; generating, using the quality data, a model input to a quality score machine learning model; and providing the model input as input to the quality score machine learning model to generate the estimated quality score for at least the portion of the communication session.

System and method for evaluating the quality of a communication session

Growing community of inventors

Saint-Petersburg, Russia

Ivan Gennadevich Anisimov