Engineering Intelligence: Connecting Simulation, Data, and AI

• Cabernet Sauvignon: Justin | Paso Robles 2012
• Bordeaux: Chateau Loudenne | Medoc 2018
• Pinot Grigio: Santa Margherita | Valdadige 2022
• 44 Classic Manhattan: Colonel E.H. Taylor Jr. Small Batch Bourbon, Carpano Antica Vermouth, Angostura bitters, and a Luxardo cherry
• Coastal Rita: Clase Azul Tequila, Rhum Clément Creole Shrubb Liqueur, agave nectar, and fresh pressed lime

Choice of Salad:

• Chopped Iceberg Wedge
• Mixed Greens
• Caesar Salad

Choice of Entree:

• Filet 8oz
• Bone In Ribeye 22oz
• New York Strip 16oz
• Cold Water Norwegian Salmon Fillet
• Custom Vegan Options upon request

Choice of Desserts:

• New York Cheesecake
• Chocolate Sin Cake
• Signature Warm Butter Cake

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• Focused Dialogue:

The moderator will lead the conversation through topics derived from pre-survey responses, ensuring a targeted and relevant discussion.

• Structured Environment:

To maintain the session's integrity and focus, side discussions will be minimized.

• Exclusive Setting:

The roundtable will take place in a private room, ensuring confidentiality and an undisturbed environment.

• Feedback Loop:

Post-event, participants' quotes will be shared with them for approval before any public dissemination, upholding our commitment to privacy, authenticity, and transparency.

• Engineering Acceleration and Elastic Compute

Exploring how organizations are accelerating product development through AI-enabled engineering, scalable compute access, and automation from reducing design cycle time to unlocking elastic resources that power faster innovation.

• Integrating Simulation, Data, and AI Workflows

Discussing how connected platforms, shared data fabrics, and unified engineering environments are bridging the gap between simulation and intelligence, enabling real-time collaboration, improved traceability, and smarter design decisions.

• Building Trust and Governance in AI-Assisted Engineering

Addressing how enterprises validate AI-driven outcomes through reproducibility, explainability, and model-to-physics alignment, and how governance frameworks ensure confidence, compliance, and control as AI takes on higher-value engineering roles.

• From Digital Threads to Intelligent Systems

Examining strategies to overcome fragmented toolchains and data silos, creating continuous digital threads that connect simulation, modeling, and AI for faster, traceable, and collaborative engineering across global teams.

• The Future of Engineering Intelligence

Considering how next-generation engineering will combine agentic AI, hybrid compute, and continuous learning simulations — transforming the design process into an adaptive, self-optimizing system that redefines innovation speed and scale.