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Are We Ready for Foundational Models in Engineering?

Are we Ready for Foundational Models?

Astrid Walle
Data Science and Simulation Expert
Siemens Energy

The presentation examined the readiness of the CAE universe for the adoption of foundational models, exploring what these models truly mean for engineering design and simulation. Beginning by outlining a vision for AI in engineering, questioning whether we can provide a base for foundational models given our current state in data handling and whether we can make the most of their transformative potential. Discussion progressed to the requirements for implementing these models, such as simulation data management and computational capabilities, and an assessment of the status quo in research and development to highlight both the progress made and the hurdles that remain. A key takeaway was that while we’ve made significant progress with AI applications in CAE, we’re just scratching the surface of what foundational models can offer, and that one thing is certain: As we continue to explore their capabilities, exciting possibilities lie ahead!

Astrid Walle is a mechanical engineer with a PhD in CFD and more than a decade of experience in applied fluid mechanics. She has held several positions in gas turbine R&D and AI development at Siemens Energy, Vattenfall and Rolls Royce. Following her professional determination to bring AI and Data Science into engineering she ran her own business and worked as a Product Manager in a software startup before she rejoined Siemens Energy to establish the usage of data from the very beginning in product development.

Document Details

ReferenceNWC25-Key-03-Rec
AuthorWalle. A
LanguageEnglish
AudienceAnalyst
TypePresentation Recording
Date 19th May 2025
OrganisationSiemens Energy
RegionGlobal

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