Voicebot latency is the most critical performance metric for voice-enabled Conversational AI systems. While text-based interactions can tolerate response delays of several seconds, voice agents must respond as quickly as possible to maintain natural dialogue flow. Even slight delays create slow voicebots with perceptible awkwardness that degrades
Earlier this week, I had the privilege to travel back to my alma mater, the Illinois Institute of Technology in Chicago, to speak at and attend the IEEE RTC Conference & Expo 2025, which covered WebRTC, Mobility, VoIP, and Next Generation 911. This annual event continues to
WebRTC’s code may be open source and royalty-free, but deploying a reliable, production-grade real-time communications application involves both up-front development investment (engineering, integration, and setup) and ongoing operational spending (infrastructure, bandwidth, monitoring, and scaling). Teams who overlook either side risk major surprises as their product grows. So
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
