The idea behind Machine Learning is that systems can learn from data, identify patterns on their own and make decisions with minimal human intervention. The same applies to engineering and CAE-based product design where ML provides a real benefit to simulation-based computer experiments.

The biggest challenge with data today isn’t how to handle it technically. Rather, it's about turning data into valuable insights necessary to predict the optimal next step of the design iteration.