ACERCA DE ESTE EPISODIO
In this episode, we explore artificial intelligence, digital twins and model-based engineering with Chris Stecki, CEO of PHM Technology, and Filbert Arzola, Principal Electrical Engineer of Raytheon SAS. Recorded live at Realize Live 2024 in Munich, we discuss how these technologies are changing the engineering field.
Learn more about how AI is used in engineering, the effects of digital twins on product development, and future engineering innovations.
Key Takeaways:
- AI in engineering requires critical domain knowledge and cannot replace engineering expertise.
- Digital twins have a transformative impact on engineering practices, especially in PCB design, by enabling simulation and model-based approaches.
- AI’s role in engineering processes must include human oversight to ensure accuracy and reliability.
This episode of the Engineer Innovation podcast is brought to you by Siemens Digital Industries Software — bringing electronics, engineering and manufacturing together to build a better digital future.
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For more unique insights on all kinds of cutting-edge topics, tune in to siemens.com/simcenter-podcast
▶️ About Simcenter:
Engineering departments today must develop smart products that integrate mechanical functions with electronics and controls. They should utilize new materials and manufacturing methods and deliver new designs within ever shorter design cycles. This requires current engineering practices for product performance verification to evolve into a Digital Twin approach, which enables us to follow a more predictive process for systems-driven product development.
Simcenter™ software uniquely combines system simulation, 3D CAE and tests, to help predict performance across all critical attributes, early and throughout the entire product lifecycle. By combining physics-based simulations with insights gained from data analytics, Simcenter helps you optimize design, and deliver innovations faster and with greater confidence.
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