
Next-Generation Engineering through AI-Powered Modeling & Simulation
3 December 2026 | 2 p.m. CET | online
How can AI enhance engineering workflows and help engineers make faster, data-driven decisions?
This simpulse webinar is tailored to engineers and product development professionals interested in exploring how AI can enhance modeling and simulation throughout the product development lifecycle.
We will introduce AI-powered engineering capabilities, including Virtual Companions and Predictive Simulation. Virtual Companions provide an intuitive way to access engineering knowledge, retrieve relevant information, and navigate complex engineering tasks. Predictive Simulation complements traditional simulation methods by leveraging AI-based models to accelerate design exploration, evaluate multiple design alternatives, and generate faster insights into product performance.
Through an automotive industry use case, we will demonstrate how AI, modeling, and simulation can work together to bridge the gap between product design and engineering analysis. The example will illustrate how AI-powered capabilities can help engineers explore design variations more efficiently, identify promising design options earlier, and gain insights into product behavior to support informed, data-driven decisions.
Join us to discover how AI-powered modeling and simulation can streamline engineering workflows, reduce the time required for design evaluation, and enable a more integrated and intelligent product development process.
AGENDA
3 December 2026 | online
2:00 PM CEST
Welcome & Introduction
Alexander F. WALSER | ASCS e.V.
2:05 PM
Next-Generation Engineering through AI-Powered Modeling & Simulation
Jens MENZEN, Dassault Systemes Deutschland GmbH
2:45 PM
Q&A
Ask the speaker
3:00 PM
End
Registration Is Completely Free!
SPEAKER
TARGET AUDIENCE
This simpulse webinar is designed for
engineers and product development professionals who want to understand how AI can enhance modeling and simulation across the product development lifecycle. It is particularly relevant for those in the automotive industry and anyone looking to accelerate design exploration and make better-informed engineering decisions.
KEY TAKEAWAYS
- Virtual Companions give engineers intuitive access to engineering knowledge, helping them retrieve relevant information and navigate complex tasks more quickly.
- Predictive Simulation complements traditional simulation with AI-based models, accelerating design exploration and the evaluation of multiple design alternatives.
- Faster, data-driven decisions: Promising design options can be identified earlier, and insights into product performance arrive sooner in the development process.
- Bridging design and analysis: An automotive use case shows how AI, modeling, and simulation work together to close the gap between product design and engineering analysis.
- More integrated development: AI-powered modeling and simulation streamline engineering workflows and reduce the time needed for design evaluation.


