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Machine Learning and Artificial Intelligence … how does it work for simulation?
In this edition of our Engineer Innovation podcast, we hear from Chad Jackson at Lifecycle Insights in discussion with Siemens Digital Industries Software AI expert, Justin Hodges as they explore the role of machine learning for simulation engineers.
Justin breaks down what can seem a daunting area into the key benefits, real-life application examples and most importantly how you can adopt the methodology to see rewards for your simulation projects.
Whilst the clearest benefit is the time saved, not only for the simulation process but potentially across the entire design-cycle, that time can then be used to determine even better outcomes and improvements for future product configurations.
Chad and Justin explore some real-life examples before diving into how to roll out this methodology in your organization.