Zum Hauptinhalt springen
••••••••••••••••••••
Intelligence View
⚡ tsecurity.de Intelligence

Microsoft Developer: How to Run AI Agents at the Industrial Edge

HD Video
How to Run AI Agents at the Industrial Edge
Video abspielen

Video von Microsoft Developer auf YouTube: Physical AI connects real equipment to AI agents through a hybrid architecture. Cloud-connected devices link…

Beitrag
0
Seite
0
↗ Quelle (Microsoft Developer)
Social ReaktionenReagiere als Erste:r — dein Feedback zählt!

Physical AI connects real equipment to AI agents through a hybrid architecture. Cloud-connected devices link directly to Azure IoT Hub, while on-site devices run through Azure IoT Operations on Kubernetes at the edge, with Foundry Local running AI workloads on premises. Data from both paths lands in Microsoft Fabric, and Azure Resource Manager manages it all.



Jason Farmer, Product Manager on Microsoft's digital operations team, walks through the architecture and the reason it exists: virtual coworkers. An OT virtual coworker runs on site and keeps working even when the cloud connection drops, while an enterprise virtual coworker in Microsoft Foundry or Fabric reaches frontline and information workers through Teams and Dynamics.



Resources

- Demo: Making industrial AI practical for real-world operations with adaptive cloud https://aka.ms/demo-industrialai

- Explore more Essential resources! https://azure.com/AzureEssentials



Connect

- Jason Farmer https://www.linkedin.com/in/jason-farmer-9492b44/



Chapters

0:00 What physical AI needs at the edge

0:40 How cloud and on-site devices connect to Azure

1:25 How physical AI data flows into Microsoft Fabric

1:55 What virtual coworkers do for frontline teams

2:20 How an OT virtual coworker keeps working offline

3:05 Where to see physical AI in action
Intelligence Digest — free The top security news daily · unsubscribe anytime
Community Rating & Social Proof
⭐ Leser-Wertung
–
Ø / 5.0
No reader ratings yet
Was this page helpful?
0
Jetzt Bewertung abgeben
🟢 Niedrig (1-3.9) 🟡 Mittel (4.0-6.9) 🔴 Hoch (7.0-8.9) Kritisch (9.0-10.0)

Related story clusters & sources (vector AI)

Pull to refresh
Nächster Beitrag