Session
Going Local with Azure Foundry for Privacy‑First, Anywhere AI
AI is everywhere, but what if it could work anywhere without compromising privacy? In this session, discover how Azure Foundry Local unlocks new possibilities for building intelligent solutions that run locally with LLMs, even in air gapped environments, and extend seamlessly to hybrid scenarios when needed.
We’ll explore how this approach empowers organizations to:
- Deliver fast, context-aware decisions at the point of need without waiting on the cloud.
- Keep sensitive data secure while still benefiting from advanced reasoning capabilities.
- Enable flexible architectures that scale from local to hybrid, supporting scenarios like medical labs, legal document review, and financial analysis where sovereignty and compliance are critical.
This isn’t just about running models offline; it’s about reimagining AI workflows for mobility, resilience, and trust. Whether you’re designing for remote sites, regulated industries, or distributed teams, Foundry Local opens the door to privacy-first AI that works anywhere.
Why Attend
- Understand how local AI changes the game for security and speed.
- See how hybrid evolution combines local autonomy with cloud intelligence—without exposing raw data.
- Gain insights into real-world patterns and scenarios that make privacy-first AI practical today.
Arin Roy
Principal Architect & Azure (AI) MVP, Capgemini
Utrecht, The Netherlands
Links
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