The problem: deploying a machine-learning model at an edge device is not only an inference problem. The device must obtain a model, store it safely, compile it for the target hardware, load it without exhausting memory, and preserve the right application state when connectivity is intermittent. This article is for IoT engineers, Apple-platform developers, ML…
Industrial data historians are no longer confined to proprietary control-room stacks. In 2026, an operations team can assemble a serious time-series platform from open technologies, connect it to PLCs and gateways, and still preserve the auditability, retention policies, and analytical depth expected in a modern plant. That opportunity is exciting, but the word “historian” needs…
Factories rarely suffer from a lack of data. They suffer when valuable data is trapped inside PLCs, historians, SCADA servers, gateways, and machine controllers that speak different languages. MQTT Sparkplug B offers a disciplined way to move that data through an industrial MQTT infrastructure while preserving device identity, state, metrics, and operational meaning. The result…