This talk describes how AI and ML techniques are used to analyze RTC metrics and overcome key challenges, including identifying the root cause of communication impairments.
WebRTC produces mountains of data that can be used to optimize streams and debug problems – if you know where to look. This talk describes how AI and ML techniques are used to analyze RTC metrics and overcome key challenges, including identifying the root cause of communication impairments, determining where to put your infrastructure, and adjusting end-point configurations in real time for changing network conditions.