AI Enables Data-Driven Product Design
Abstract The article explores how artificial intelligence (AI) and machine learning are enabling new paradigms in product design and development. It discusses how AI-powered „copilot“ systems can provide natural language access to specialized knowledge and automate complex workflows, flattening the learning curve for design software. The article also examines how embedding AI directly into design tools can capture expert knowledge, simplify the user experience, and provide intelligent recommendations. Furthermore, it delves into how AI-powered reduced order models (ROMs) can rapidly simulate design concepts, accelerating the design iteration process. The article envisions a future where custom AI models trained on proprietary data could enable fully autonomous, generative design – from initial concept to final optimized design. Overall, the article highlights the transformative potential of AI in redefining the design process and accelerating innovation.
Authors
- J. D. Brett. Hodges
Institutions
- Siemens (Germany) (DE)
- Software (Germany) (DE)
Publication Details
- Journal
- Zeitschrift für wirtschaftlichen Fabrikbetrieb
- Published
- 2025-03-20
- DOI
- https://doi.org/10.1515/zwf-2025-0004
- Primary Topic
- BIM and Construction Integration
- Type
- article
- Field-Weighted Citation Impact
- 0.00