#066 - Why Context Matters for AI in Manufacturing
Description
In this episode, we look at a simple but often overlooked idea: AI in manufacturing only works when the data has real context. It’s not enough to stream numbers from machines. Without knowing what the data represents, where it comes from, or what was happening at the time, AI quickly falls apart. We talk about why edge data contextualization makes such a difference, how it helps models make better decisions, and why pushing context closer to the source saves time and frustration later. The discussion stays practical, touching on real shop-floor situations where good context turned noise into insight. It’s a calm, clear reminder that smarter AI usually starts with better data, not bigger models. For deeper reading and more hands-on insights, visit iiotblog.com.























