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Analyses d'experts et articles sur l'Internet des Objets, la connectivité, la logistique et l'automatisation.
A water meter in a Valencia basement has sent its daily reading for eight years on the same battery. That is the promise of LoRaWAN for smart cities: sensors th
IoT sensors convert physical-world measurements — temperature, gases, vibration, light, position — into continuous, actionable, scalable digital data. This guid
An MQTT broker is the central messaging server of an IoT network: it receives the data that devices publish and distributes it to every subscribed application.
AI ROI for industrial operations: real cost buckets, measurable value drivers, a payback formula with a worked example, and the traps that sink business cases.
Twelve copy-paste industrial AI prompt patterns that work in production AI Copilot deployments. Each pattern includes a real prompt, what the agent returns, and when not to use it. Built for plant engineers, integrators, and operations leads.
What a digital twin really is, the asset, process, and plant types, and why AI agents need this live IoT data model to reason about your factory.
What edge AI is, how it differs from edge computing, and why industrial IoT runs inference at the edge while the AI copilot reasons in the cloud.
Why most agentic AI pilots never reach production, plus the 90-day roadmap to get AI agents in production with governance, executive KPIs, and rollback.
Five real deployments of AI agents in manufacturing, the KPIs each one moved, the honest limitations, and how to evaluate a vendor before you sign.
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