Claudia Ullrich

As parts become smaller, more complex, and increasingly performance-critical, traditional measurement tools are reaching their limits. The solution? A shift from tactile to optical metrology — and with it, from reactive troubleshooting to predictive quality assurance.

Discovering, evolving, and sometimes unsettling, artificial intelligence mirrors our human learning. Yet, as it integrates further, questions arise: Can it handle quality assurance? What's in the future? And crucially, how much control are we comfortable relinquishing to it?