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By Bipin Kashid, Engineering Manager and Chief Engineer, Parker Hannifin There has been a lot of talk about veteran engineers passing down knowledge that they’ve gained over the years. And without a doubt, there is a lot that up-and-coming engineers can learn from their more experienced colleagues who have years of valuable hands-on experience dealing with a myriad of problems in the field.
Model-Based Engineering (MBE) has been part of engineering practice for years, sometimes embedded deeply in connected workflows, other times applied in isolated pockets within specific teams or disciplines. What is different now is the context around it. The technology landscape is shifting rapidly with the rise of artificial intelligence (AI), accelerated automation, and emerging agentic AI capabilities.
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