In this episode, we talk about a simple truth that trips up many IIoT projects: raw numbers don’t mean much without context. Streaming data from machines is easy. Understanding what that data represents, when it matters, and how it should be used is the hard part. We explore why context turns signals into insight, and how missing context leads to confusion, bad decisions, or dashboards no one trusts. The conversation walks through real shop-floor examples where the same value meant different things depending on the process, the state of the machine, or the moment in time. It’s a calm, practical look at why smarter manufacturing starts with better understanding, not more data. For deeper reading and more real-world insights, visit iiotblog.com.