September 15-17, 2026

2026 GPDIS Theme: 

AI Enabled Interoperability Across the Digital Enterprise

As manufacturing organizations accelerate their adoption of digital engineering, the ability to seamlessly exchange and interpret product data across the lifecycle has long been a strategic imperative. Artificial Intelligence is increasingly shaping how digital artifacts—from system models and product definition to manufacturing and sustainment data—are connected across tools, organizations, and domains. When applied effectively, AI can enhance interoperability by automating data alignment, resolving semantic inconsistencies, and enabling intelligent reuse of authoritative digital engineering assets across the enterprise.  When applied poorly, AI can hallucinate, mislead, and damage.  

This year’s Global Product Data Interoperability Summit will examine the role of AI in advancing standards-based interoperability within enterprise digital ecosystems. We will focus on how AI can augment model-based systems engineering, digital twins, and manufacturing execution by improving data consistency, traceability, and decision fidelity across design, production, and operations. The Summit will also address the challenges of integrating AI into existing data standards, reference architectures, and governance frameworks to ensure trust, repeatability, and lifecycle continuity.

By bringing together leaders from digital engineering, manufacturing, and standards communities, the Summit will provide a practical and forward-looking forum to assess how Artificial Intelligence can be responsibly leveraged to strengthen interoperability at scale. The objective is to enable resilient, model-centric manufacturing environments where AI-driven insights are grounded in standardized, authoritative data—supporting faster innovation, improved quality, and more agile production in an increasingly complex global landscape.

Keynote Speakers