In this episode, we take a clear look at digital twins in IIoT and where physics-based models actually fit in. The term “digital twin” is often used loosely, so we break it down in simple terms — from basic data mirrors to more advanced models that simulate real-world behavior. We explore how physics-based models add value when accuracy and prediction matter, and where simpler data-driven approaches are often enough. The conversation also touches on the trade-offs: complexity, effort, and when it’s worth going deeper versus keeping things practical. It’s a grounded discussion that helps separate concepts that often get mixed together, so you can better decide what makes sense for your use case. For deeper reading and more real-world insights, visit iiotblog.com.