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Agentic Voice Mode Unplugged

april 17, 2025 | 10:00 - 11:00 p.m. (UTC) Gecoördineerde Universele Tijd

Klaar om aan de slag te gaan met AI en de nieuwste technologieën? Microsoft Reactor biedt evenementen, training en communitybronnen om ontwikkelaars, ondernemers en startups te helpen bouwen op AI-technologie en meer. Kom kijken.

Agentic Voice Mode Unplugged

april 17, 2025 | 10:00 - 11:00 p.m. (UTC) Gecoördineerde Universele Tijd

Klaar om aan de slag te gaan met AI en de nieuwste technologieën? Microsoft Reactor biedt evenementen, training en communitybronnen om ontwikkelaars, ondernemers en startups te helpen bouwen op AI-technologie en meer. Kom kijken.

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Agentic Voice Mode Unplugged

april 17, 2025 | 10:00 - 11:00 p.m. (UTC) Gecoördineerde Universele Tijd

  • Notatie:
  • alt##LivestreamLivestream

Onderwerp: Agents

Taal: Engels

Join us for an in-depth technical session showcasing Contoso Outdoor's cutting-edge Agentic AI System, designed to redefine customer service interactions. This presentation is geared towards developers interested in the practical implementation of AI technologies in customer support.

We'll kick off with a live demo of our AI customer service agent, highlighting its real-time voice mode capabilities. At the heart of this feature is our robust API, which enables seamless, instantaneous communication between the AI agent and customers. Witness how our real-time API handles voice data, allowing the AI to deliver rapid and context-aware responses that enhance the user experience.

Our session will break down the system architecture, focusing on the integration of a JavaScript React front-end with a Python FastAPI backend. Participants will get a raw look at the code, providing valuable insights into the development process on both ends of the system.

Additionally, we'll cover the technical aspects of working with audio in AI, discussing how multiple AI agents are used effectively through prompting techniques to enhance service delivery.

This session is a must-attend for developers looking to understand the intricacies of real-time APIs in multi-agent systems and gain practical knowledge that can be applied to their own projects.

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