Microsoft Events presents an expert session on SymphonyAI IRIS Foundry and Microsoft Azure, exploring AI, DataOps, and Unified Namespace solutions for modern industrial operations.

Transforming Industrial Operations with SymphonyAI IRIS Foundry on Microsoft Azure

This expert-level Microsoft Ignite session showcases how SymphonyAI Industrial and Microsoft Azure work together to modernize manufacturing and industrial operations using the IRIS Foundry platform.

Session Highlights

Introduction to AI in Industrial Environments
- Overview of the impact and potential of AI in industrial workflows.
Transition to AI-Powered Workflows and Analytics
- How AI-powered analytic workflows enhance operational efficiency.
SymphonyAI Solutions Call to Action
- Presentation of SymphonyAI’s platform features and solution strategy.
Exploring Intercorrelation Plots for Pattern Identification
- Demonstration of data analytics tools for identifying operational patterns in industrial datasets.
IRIS Foundry Core Components
- DataOps: Streamlining ingestion, integration, and processing of industrial data with Microsoft Azure.
- AI Modeling: Deployment of knowledge graphs and Copilot-driven AI modeling for equipment, process, and asset analysis.
- Insights: Delivering contextual, actionable insights via AI-driven dashboards and reports.
Unified Namespace and Tag Data Integration
- Implementing Unified Namespace (UNS) for consistent contextualization across industrial data sources.
- Integrating diverse data—from CMMS (Computerized Maintenance Management Systems) and historian systems—into unified asset hierarchies.
Human-in-the-loop Validation for AI Mappings
- Use of expert validation to enhance the accuracy of AI-generated mappings, especially when confidence levels are low.

Use Cases and Benefits

Unification of disparate industrial data into a common model
Real-time analytics powered by Azure and SymphonyAI platforms
Improved asset management and maintenance workflows
AI-assisted insights for proactive decision making and anomaly detection

Technical Features Discussed

Azure integration for scalable, secure data storage and compute
AI knowledge graphs to link diverse data points and discover new relationships
Copilot features in IRIS for intuitive user interaction and modeling
Unified Namespace and DataOps frameworks for standardized industrial data
Human validation ensuring reliability for critical AI recommendations

Learn More

For more sessions and details, visit Microsoft Ignite.

Presented by Microsoft Events during Ignite 2025.