In this episode, we dive into how industrial IoT and AI are quietly reshaping the world of maintenance and asset tracking. We’ll walk through how sensors, data, and machine learning are being used together to spot issues earlier, keep machines running longer, and track assets more accurately — not just with promises, but with real practice. We’ll also talk about what still holds things back: messy data, mixed systems, and the everyday challenges teams face when theory meets the shop floor. If you’ve ever wondered how IIoT and AI move from “pilot” to real-world value in asset-intensive operations, this is for you. For deeper reading and more field-stories, visit iiotblog.com.