No matter where you turn, no matter where you work, the topic on everyone's mind is AI. It’s versatile, visible, engaging, and easy to use. It’s no surprise that not only is everyone chatting with it, but everyone is talking about it.
IoT, on the other hand, is quieter; having been on the scene since 1999, it has become something that has slowly faded out of conversations. But it is still there, and it is still relevant. It lives in instruments, field devices, communication networks, gateways, edge systems and the digital tools, platforms, and apps that make data accessible, visually appealing and interactive.
So what does the rise of AI mean for IoT?
Well, the convergence of AI and IoT, often referred to as AIoT, points out that intelligence only becomes useful when it is grounded in reliable, real‑world data.
AI has not killed IoT, if anything, AI and IoT are made for each other. Separate, they’re impressive. But together, they’re what make industrial intelligence fit for play.
At Endress+Hauser, for decades, we have understood the importance of having measurement values you can trust, data you can explain, and systems designed to perform consistently over long lifecycles. So, we want to shift the narrative. Instead of talking about how AI killed IoT, we want to highlight the blossoming relationship between the two by debunking a few myths.