AI Agents for Real-Time Digital Twins: Autonomous Monitoring, Prediction&Maintenance
Proposed session for SQLBits 2026TL; DR
This session explores how Azure Digital Twins, IoT telemetry, Microsoft Fabric, and AI agents can be combined to build fully autonomous digital twin systems. You will learn how agentic workflows continuously sense real-time data, reason over digital twin graphs with semantic context, and take automated actions
Session Details
This session is about how to combine Azure Digital Twins, IoT telemetry, Microsoft Fabric, and AI agents to create fully autonomous monitoring systems.
Presentation Key points:
Agentic workflows that inspect telemetry streams (vibrations, temperature, humidity, motion, etc.).
Real-time anomaly detection → agent reasoning → automated actions (e.g., ticket creation, shutting down equipment).
Integrating Digital Twin graphs with LLMs (agents querying twin relationships to understand semantic context).
Using Azure AI Agent Service + Eventstreams/Eventhouse for “sense → think → act"
Presentation Key points:
Agentic workflows that inspect telemetry streams (vibrations, temperature, humidity, motion, etc.).
Real-time anomaly detection → agent reasoning → automated actions (e.g., ticket creation, shutting down equipment).
Integrating Digital Twin graphs with LLMs (agents querying twin relationships to understand semantic context).
Using Azure AI Agent Service + Eventstreams/Eventhouse for “sense → think → act"
3 things you'll get out of this session
1. Design agentic monitoring workflows
2. Enable autonomous decision-making and action
3. Leverage Digital Twin semantics with LLM-powered agents
Speakers
Mihail Mateev's other proposed sessions for 2026
Build Intelligent Applications using ChatGPT and Vector Search with Data in Azure Cosmos DB - 2026
From Single Agent to Agent Orchestrator: A Stage-Based Architecture with Azure AI Foundry - 2026
From SQL to Fabric: Building Scalable Real-Time Data Platforms with T-SQL, Eventhouse, and Data Acti - 2026
Indexing Strategies for Vector Search in SQL Server - 2026
Next-Gen Digital Twins on Microsoft Fabric: Real-Time, AI-Driven, Cloud-Scale - 2026