Digital Engineering: Faster Chaos or Smarter Engineering?

Digital Engineering initiatives promise faster development, better collaboration, and AI-ready engineering environments. In practice, however, many organizations experience exactly the opposite: increased complexity, fragmented data, and rising coordination effort.

This webinar addresses one critical question: how can Digital Engineering enable smarter working instead of accelerating chaos?

The focus lies on the practical application of methods for interdisciplinary collaboration in the engineering of mechatronic systems. Central to the discussion is a frontloading-oriented view on product structures and system behavior and how it improves decision-making, reduces late changes, and increases overall efficiency.

What can viewers expect?

• Insights into product structures and system behavior models to support interdisciplinary collaboration
• Model-based development approaches for all company sizes
• How to avoid wasting time and cost
• Focus of digitalization initiatives, what to prioritize, and what to consciously leave untouched

This webinar focuses on methodical clarity, semantic consistency, and practical integration. The goal is to enable efficient engineering workflows that create real value without sinking costs or losing time.