The integration of conversational AI and agentic systems into WebRTC applications has evolved from a novel concept to an essential component in creating truly intelligent communication systems. The convergence of real-time communication, large language models (LLMs), and agentic AI systems has unlocked new opportunities for voice-based interfaces
Imagine having a conversation with a sophisticated AI assistant or agent without your words ever leaving your machine. No data being shipped to third-party servers. No LLM API costs. No added latency waiting for distant data centers to process your requests. If you’re concerned about confidential business
As the CTO of WebRTC.ventures, I recently attended ITEXPO 2025 in South Florida, an annual gathering of communications and technology professionals. The event brings together telecom and IT executives from enterprise and SMBs, small business owners, MSP and channel C-levels and business owners, service provider/carrier engineers, network
Graphics Processing Units (GPUs) were originally designed to accelerate gaming, enabling complex graphics computations to run in parallel. Unlike Central Processing Units (CPUs), which excel at executing a few instructions at a time with high precision, GPUs are built for massive parallelism—handling thousands of operations simultaneously. This
