If there’s a single theme on the WebRTC.ventures blog, it’s that WebRTC is about much more than just video. While most applications we develop include a video component, the audio and data channels of WebRTC can be used independently of the video channels. In this post, I
Imagine turning hours of call transcripts into concise summaries with just a few lines of code, all without provisioning any servers. In this “WebRTC Tips” video, our WebRTC Developer Advocate, Hector Zelaya, demonstrates how to leverage AWS Lambda to build a serverless process that reads call transcript
The integration of Generative AI (GenAI) and WebRTC has the potential to revolutionize the way businesses operate, particularly in contact centers. GenAI’s ability to generate content and perform actions based on given instructions is opening new frontiers across various industries. When combined with the real-time communication capabilities
Transcription, a crucial component of modern contact centers activities, is largely facilitated by Automatic Speech Recognition (ASR) systems. These tools, however, can fall short in accuracy and reliability. Consequently, assessing transcript quality becomes imperative and has traditionally involved costly manual processes. Enter Large Language Models (LLMs), presenting
