Product & Tech
Seb
NVIDIA and global robotics leaders take physical AI to the real world — KION and Accenture build physics-accurate warehouse digital twins to train autonomous forklift fleets for GXO, while Azure and Nebius fold the Physical AI Data Factory blueprint into their clouds
Watch: the data-factory blueprint we flagged last week is already landing in production logistics — warehouses are becoming physical-AI training grounds. Fleets will soon expect simulation-grade data rigor from vehicle-side vendors too; that's our quality bar.
AIoT in 2026: from edge intelligence to agentic systems — the reference architecture shifts to devices that monitor, interpret, decide and act autonomously, without a human instruction loop
Read: the industry now assumes agents act on device data with no human in the loop — which makes trustworthy, contextualized data the safety layer. Design daXos outputs for agent consumption first, dashboards second; MCP is the moat.
Google Cloud's State of AI Infrastructure report: 83% of organizations say they need infrastructure upgrades to support production-grade agentic AI
Signal: the agentic bottleneck is infrastructure, not models — and that's just as true at the sensor edge as in the data center. Borrow the "production-grade agentic" vocabulary for product docs and the architecture slide.