.NET AI Community Standup: Ignite AI Highlights and Custom Avatar Architecture Deep Dive
Featuring insights from Bruno Capuano and Pablo Piovano, this session explores the technical implementation of Microsoft’s AI Custom Avatar demo using Azure AI Foundry and .NET technologies.
.NET AI Community Standup: Ignite AI Highlights + Custom Avatar Deep Dive
Session Overview
This session recaps major AI announcements from Microsoft Ignite 2025, focusing on a hands-on deep dive into the technical architecture of the Azure AI Custom Avatar demo presented at .NET Conf 2025. Attendees will gain practical knowledge on integrating state-of-the-art Azure AI services into modern .NET applications.
Key Topics
- Ignite 2025 AI Announcements: Summary of new services and features revealed by Microsoft, including updates to Azure AI Foundry, enhanced Chat Completion, Agents, and Speech capabilities.
- Custom Avatar Solution: Technical walkthrough of the end-to-end solution, highlighting:
- Architecture orchestrated with Aspire 13 for robust service composition.
- Integration of Azure AI Foundry for avatar creation and interaction.
- Usage of Chat Completion and Agents to power conversational and intelligent behaviors.
- Implementation of Speech Services for natural language interaction.
- Frontend development with Blazor, enabling real-time, multimodal user experiences.
- How-To for Developers:
- Infusing .NET applications with intelligent agents.
- Architecting multimodal user interfaces using Azure AI features.
- Best practices for orchestrating AI services within .NET Aspire solutions.
Featured Speakers
- Bruno Capuano (Microsoft Advocate, @elbruno)
- Pablo Piovano (LinkedIn, @ppiovano)
Resources
- Community Collection
- #dotNET #AzureAI #AIFoundry
Technical Summary
This standup is essential for .NET developers looking to elevate their applications with AI-driven avatars and conversational agents using Azure’s advanced AI stack. The session covers architecture patterns, integration points, and practical insights based on real-world demos.