AI is moving out of the data centre and onto trucks, utes, drones and sensors. Here’s what that looks like in the real world — including four problems we’re working on, from smoke and road signs to paddocks and pits. Edgegenix · Operational Intelligence Most of the excitement in AI still points at the data centre — bigger models, bigger clusters, bigger bills. But some of the most useful AI of the last two years has been moving in the opposite direction: out of the cloud and

A technical use-case deep-dive on thermal + visual sensing, on-vehicle edge compute, and what actually has to happen on a major fire-ground — not just at the tower. The moment the technology has to earn its place On 30 December 2019, near the New South Wales–Victoria border, a sudden, violent wind change from a fire flipped a NSW Rural Fire Service truck. Sam McPaul was killed. Eleven days earlier, near Buxton south-west of Sydney, a falling tree struck another RFS truck and

AI operational intelligence turning a flood of field data into a single verified point of interest. Almost every AI you've met lives in a chat box. You type a question, it types back. Useful. Also the least interesting thing AI is about to do. Because the version that matters for people who manage land, infrastructure, and risk doesn't wait to be asked. It sits between a field signal and a decision — watching, reasoning, and recommending — while a human stays in command. That