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CIMdata 2026

The Critical Need for AI Governance and a Strong Product Data Backbone

Webinar promotional image for AI governance and product data backbone, with event details, registration button, and graphics of AI data flow and security symbols.

October 13, 2026 | 11:00 AM–12:00 PM EDT | Online

AI is transforming engineering and product development—but the quality of the data behind it can determine whether that transformation succeeds or fails.
For experienced engineers, navigating inconsistent file names, incomplete attributes, and disconnected product information may be second nature. AI systems and autonomous agents don’t have that same context. They require structured, accurate, and machine-readable product data to deliver reliable results.

As AI agents increasingly access product data directly through technologies such as the Model Context Protocol (MCP), the need for strong data governance is becoming more critical than ever. Without the right foundation, poor product data can lead to unreliable AI outputs, duplicated work, design errors, and costly disruptions.

Join Dr.-Ing. Stefan Stange from PRO.FILE and CIMdata Principal Consultant Tom Gill for a practical discussion on how organizations can build the foundation needed for trustworthy, AI-ready product data.

Together, they will explore:

Who Should Attend?

This webinar is particularly relevant for leaders and professionals in aerospace, automotive, mechanical engineering, and industrial machinery, including:

Join us to learn how strong product data governance and a modern product data backbone can help your organization build a foundation for responsible, reliable, and AI-ready engineering.

Join us!

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