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AI.

HomecategoryAIPage 7
August 11, 2025
Alberto GonzalezComments Off on WebRTC.ventures Visits ClueCon 2025: AI, VoIP, and Open Source at the Forefront

WebRTC.ventures Visits ClueCon 2025: AI, VoIP, and Open Source at the Forefront

At ClueCon 2025, a premier conference for telecommunications developers and innovators, WebRTC.ventures served once again as a sponsor and myself as a speaker. Presented by our partners at SignalWire, ClueCon once again delivered a packed schedule of technical deep dives and real-time communications insights, with AI-powered innovation

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August 8, 2025
Jen OppenheimerComments Off on WebRTC.ventures Developer Advocate Launches AI Tinkerers El Salvador Chapter

WebRTC.ventures Developer Advocate Launches AI Tinkerers El Salvador Chapter

We’re thrilled to announce that Héctor Zelaya, WebRTC.ventures Developer Advocate and AI enthusiast, has launched an El Salvador chapter of AI Tinkerers, a global initiative designed to empower local professionals in artificial intelligence. And it will have its first meetup on Saturday, August 30, 2025.  Through demos,

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July 28, 2025
Hector ZelayaComments Off on How to Build Voice AI Applications: A Complete Developer Guide

How to Build Voice AI Applications: A Complete Developer Guide

Voice AI applications are changing how businesses handle customer interactions and how users navigate digital interfaces. These systems process spoken requests, understand natural language, and respond with generated audio in real time. Building a voice AI application requires understanding speech processing, language models, and real-time communication infrastructure.

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July 25, 2025
Jen OppenheimerComments Off on Alberto Gonzalez to Present at ClueCon on Cutting Latency and Cost with SLMs and Open Source Voice AI

Alberto Gonzalez to Present at ClueCon on Cutting Latency and Cost with SLMs and Open Source Voice AI

AI-powered voice agents are transforming communications across industries like telecom, healthcare, and enterprise customer service. But delivering low-latency, natural-sounding AI responses in real time at low costs remains a major challenge. Leveraging the “lightweight AI” of Small Language Models (SLMs) and free open-source stacks can help overcome

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