Many WebRTC applications struggle with outdated or inappropriate media server infrastructure, limiting their ability to scale effectively and support powerful AI features. Alfred Gonzalez, Senior WebRTC Engineer at WebRTC.ventures, walks us through the considerations, options, and steps to successfully migrate to another media server. He’ll then show
Voice AI applications need real-time and reliable audio communication for natural conversations with AI customer service bots, virtual assistants, IVR platforms, and other voice-enabled systems. Choosing the appropriate transport protocol is crucial for teams, as using the wrong one can lead to choppy audio, noticeable delays, and
Voice AI agents have unique deployment needs. Operational complexity multiplies quickly. You’re not just deploying code; you’re orchestrating real-time audio pipelines that need to maintain call quality under load, coordinate between AI services that each have their own scaling characteristics, and handle the networking complexities of audio
In an era where artificial intelligence is transforming every aspect of customer service, Interactive Voice Response (IVR) systems remain a critical touchpoint for millions of daily interactions across call centers and customer service departments. As explored in my previous article on “Building a Smart IVR Agent System
