Applying Machine Learning to optimize end-to-end WebRTC Networks (Callstats)
WebRTC produces a lot of data to optimize streams during a call. Used in aggregate with smart Machine Learning approaches, this same data can be used to identify network failures, tell you where to put your infrastructure, and save on server costs. This talk will discuss how ML can be used to gain deep insights from on-going call data. Presented by Varun Singh of Callstats.
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The AI in RTC event is possible thanks to our hosts:
Google - https://webrtc.org
SFHTML5 - / @sfhtml5-channel
We would also like to thank our sponsors:
Agora.io - https://www.agora.io
Intel - https://software.intel.com/en-us/webr...
Nexmo - https://www.nexmo.com/
Callstats - https://www.callstats.io/
RingCentral - https://www.ringcentral.com/
Voicebase - http://voicebase.com/
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