Dialpad, Inc.

Jonathan Johnston

James Palmer

Kevin James

Etienne Manderscheid

Nicholas Foster

Stefan Roesch

Functionality is provided for the automated creation, testing, training, adaptation and deployment of AI models and changes thereto. Base classes are provided that enable practicable creation of new models from existing one. New models are tested on live data sets offline from user sites. New training methods are provided for the production of particular outcomes. Efficient adaptation of new AI models is facilitated, encompassing data scientist and development team control over how fast to train and deploy new models.

Automated creation, testing, training, adaptation and deployment of new artificial intelligence (AI) models

An AI platform is fully integrated with existing VoIP/AVoIP telephony infrastructure. In the course of providing VoIP/AVoIP audiovisual calls, a VoIP/AVoIP media stream of audiovisual content is processed, and transferred between endpoints. AI processing is applied to each frame of the transferred audiovisual content, in real-time while the audiovisual call is occurring. For example, automated speech recognition can be performed on the content, in which the speech of the audiovisual content is converted to text. The audiovisual call can further be automatically transcribed to a text file in real-time. Another example is the automatic detection of the occurrence of specific triggers during calls. Additional enhanced functionality is automatically provided as a result of applying the AI processing to the transferred audiovisual content. For example, in response to detecting the occurrence of a specific trigger, a corresponding directive can be automatically output on a screen of a calling device.

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San Francisco, CA, United States of America

Jonathan Johnston