How to win customers and inform designs with pre-bid intelligence for quotations- a case study with EMC FIME

Quotations can make or break you An accurate, thorough, and on-budget quotation is key to winning any piece of engineering…

Operational Deflection Shapes: From frequency peaks to understanding structural motion

Discover how Operational Deflection Shapes (ODS) reveal real-world structural motion, helping engineers diagnose NVH issues, identify vibration sources, and accelerate troubleshooting with Simcenter Testlab.

AI masterclass 2026: takeaways on turning physical test data into competitive advantage

AI master class 2026: takeaways on turning physical test data into competitive advantage

From raw test data to AI-driven decisions in just three days—here’s what happened at the AI Master class in Leuven, where engineers got hands-on with AI.
Over three intensive days, participants progressed from AI fundamentals to building fully integrated workflows. They learned how to prepare AI-ready data, automate validation and feature extraction, and train models for real engineering use cases, including road-noise prediction and manufacturing quality classification.
By combining physical testing expertise with scalable AI workflows, the master class demonstrated how organizations can accelerate decision-making, improve model reliability, and unlock the full value of their test data—today and in the future.

System Simulation for AI factories: A digital twin approach to cooling, power and microgrid for modern data centers

This blog post introduces system simulation for AI Factories to better understand how using the digital twin with Simcenter Systems solutions helps design modern data centers for cooling, power and microgrid.

The inaugural AI master class 2026: Unlock competitive advantage with your physical test data

Unlock the power of your engineering test data in this three‑day AI master class. Build practical AI workflows, improve NVH and durability processes, and boost innovation through hands‑on training. Read this blog to learn more and register to accelerate your AI‑driven engineering future.

Smarter, better, faster: How to benefit from AI and Reinforcement Learning to augment your Battery Energy Storage System (BESS)

Thus blog post explains how to benefit from smart AI-powered controllers with Reinforcement Learning applied to the BESS (Battery Energy Storage Systems).

3 essential questions answered: How to combine NVH, power or even high voltage zone data

🚀 Introduction As the electric vehicle (EV) revolution gains momentum, testing engineers face a dual challenge: ensuring mechanical integrity while…

At SAE Noise and Vibration Conference and Exhibition 2025: Learn to solve modern NVH testing challenges with Simcenter

Visit the Siemens booth at the SAE Noise and Vibration Conference and Exhibition in Grand Rapids, Michigan USA from May 12-15. Don’t miss this opportunity to learn how to redefine your NVH testing landscape.

The techno-economic value of your BESS (Battery Energy Storage System)

Unlock massive savings: how to build a scalable Battery Energy Storage System (BESS) and achieve a $1M payback

Learn how Simcenter System Simulation can help assessing the techno-economic value of BESS (Battery Energy Storage Systems)