Physical AI at the Edge: How Local, Real-Time AI is Powering Physical Operations
As AI expands into physical environments, traditional cloud-based approaches alone aren’t sufficient. Real-world systems demand real-time response, continuous sensing, and distributed intelligence—bringing edge architecture to the forefront.
In this roundtable discussion, leaders from Khasm Labs and Archetype AI will share firsthand experiences deploying Physical AI systems across smart cities, utilities, and industrial environments. From pedestrian safety and infrastructure monitoring to real-time process optimization, this session will ground AI in operational impact.
We’ll explore why edge deployment is critical, how architectures differ from traditional AI systems, and what teams learn during deployment.
What you’ll walk away with:
What Edge AI is and how different approaches enable real-time systems
Key use cases where Edge AI is making an impact
Challenges and lessons learned from real-world deployments
Panelists
Jim Brisimitzis, Founder & General Partner at Khasm Labs
Steve Braaten, Chief Architect at Khasm Labs
Sisinio Baldis, Head of Solutions Engineering at Archetype AI