Join HCL DFMPro at GPDIS 2026: Accelerating Engineering Excellence with AI & Intelligent Interoperability
HCL DFMPro is excited to participate in the Global Product Data Interoperability Summit (GPDIS 2026), the leading conference focused on digital engineering, product lifecycle management (PLM), model-based engineering, interoperability standards, AI, and digital manufacturing.
Hilton Phoenix Tapatio Cliffs
GPDIS 2026
Visit HCL DFMPro at Booth #21 (Silver Sponsor)
Stop by Booth #21 to meet our team of experts and learn how HCL DFMPro helps mechanical and manufacturing engineers bridge the gap between digital design and physical reality. HCL DFMPro is a best-practice-driven design-for-manufacturing (DFM) software integrated seamlessly within PTC Creo Parametric, SOLIDWORKS, Siemens NX, CATIA V5, and 3DEXPERIENCE.
The Hybrid Engineering Workflow: Augmenting Deterministic DFM Rules with Probabilistic AI
We are thrilled to announce that our speaking session has been officially accepted at GPDIS 2026!
Session Abstract:
In the rapidly evolving landscape of mechanical engineering, a false dichotomy has emerged: the choice between traditional rules-based Design for Manufacturing (DFM) and modern, probabilistic AI. While the narrative often favors AI systems that learn from historical data, the “hard” realities of physics, geometry, and safety-critical mandates require the absolute certainty that only deterministic rules can provide.
This session explores why rules-based systems remain the indispensable “tracks” upon which the AI engine must run to build resilient, high-velocity digital engineering workflows. We will examine a hybrid model where Rules, AI, and Humans work together.
Key Takeaways:
The Physics of Truth
Understanding why probabilistic models cannot replace first-principles logic in safety-critical environments like aerospace and medical devices.
Intelligent Violation Filtering
How AI acts as a “noise reducer” by learning from historical waivers to suppress false positives and deprioritize low-risk alerts.
Automated Rule Discovery
Using AI to mine tribal knowledge from ECOs and inspection reports to propose—rather than enforce—new, evidence-based engineering rules.
The “Glass Box” Mandate
Maintaining forensic accountability and traceability in DFM through explainable artifacts, ensuring AI enhances rather than obscures the audit trail.
Ultimately, this session demonstrates that AI will not replace the fundamental rules of engineering; instead, it will make them smart enough to match the velocity of modern design without eroding the bedrock of physical reality.
Why Attend GPDIS 2026?
GPDIS 2026 serves as a vendor-neutral communications hub for industry professionals to exchange ideas and build consensus on data, tool, and process standards. It is the perfect opportunity to learn how AI is transforming digital engineering and manufacturing interoperability, connect with leaders, and gain practical insights.