Industrial-Grade AI in EDA: From Promise to Practice — A Siemens Panel at DAC 2025

The AI revolution is reshaping everything from entertainment to enterprise software — but what does it take to bring artificial intelligence into the high-stakes, precision-driven world of electronic design automation (EDA)? That’s the central question behind a standout DAC 2025 panel hosted by Siemens EDA: “Achieving Industrial-Grade AI in EDA: Challenges, Lessons, and Opportunities.”

📅 When: Monday, June 23, 4:30–5:15 PM
📍 Where: Room 2004, Level 2
🎤 Moderator: John Linford, NVIDA

What to Expect

While many industry panels discuss AI in EDA in a narrowly focused application or technology, this one is different — not only in depth but in perspective. Moderated by NVIDIA’s John Linford, a respected expert bridging AI and high-performance design, the conversation will be fueled by executive leaders from across Siemens EDA’s broad portfolio. These aren’t outside commentators — they are the GMs directly responsible for architecting, implementing, and scaling AI within the industry’s most advanced verification, digital, analog, DFT, and system design tools.

Representing the full span of the EDA lifecycle, Siemens panelists include:

• Jean-Marie Brunet, VP & GM Hardware-Assisted Verification, Siemens EDA
• Amit Gupta – VP & GM Custom IC Division, Siemens EDA
• Ankur Gupta – Senior VP & GM Digital Design Creation Platform, Siemens EDA
• AJ Incorvaia – Senior VP, Electron Board Systems, Siemens EDA
• Abhi Kolpekwar – VP & GM, Digital Verification Technologies, Siemens EDA
• Juan Rey – Senior VP & GM, Calibre, Siemens EDA

Together, they bring a cross-domain view of AI adoption, showing how different technologies — from classical ML to GenAI and emerging agentic AI — are being deployed to solve domain-specific challenges across tools, flows, and abstraction levels.

More Than Just Chatbots: Reframing the AI Maturity Conversation

This panel will trace AI’s journey in EDA by technology type and practical value:

• ML and statistical techniques already embedded in tools today for faster bug prediction, regression reduction, and design optimization.
• LLMs and GenAI entering the flow for code generation, log summarization, and specification comprehension — with caveats.
• Agentic AI in early stages, with high potential to drive flow orchestration, root-cause analysis, and tool-to-tool automation.
• Lessons learned from what’s worked — and what hasn’t — in real-world adoption.

And through it all, a clear-eyed look at what it means to build industrial-grade AI: AI that is explainable, reliable, and safe enough for mission-critical hardware design.

Why This Panel Matters

AI in EDA isn’t about hype. It’s about hard-won insights, tough engineering tradeoffs, and building trust in automation. This panel brings together the executive leaders actually making that real — not in five years, but right now.

So if you’re curious about the real state of AI in chip design — from verification and DFT to analog and physical — don’t miss this one. You’ll walk away with a more nuanced understanding of where we are, where we’re going, and how Siemens EDA is helping to lead the way.