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.

Simcenter physical testing: Valuable monthly archive older than 12 months

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Industrial quality testing days 2026

Industrial quality testing days 2026: Applying noise and vibration testing in production

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