ISO/IEC 42001: An AI Management System for Industry
The first international standard for managing AI is a management system, not a model test - and for a plant that distinction is the whole point.
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Field notes on industrial operations intelligence — sensors, edge telemetry, and machine learning for processing plants.
The first international standard for managing AI is a management system, not a model test - and for a plant that distinction is the whole point.
How a sensor-to-model control loop trims the biggest power load in an activated-sludge plant without risking the permit.
An AI copilot is a useful reference librarian for operators, not an engineer - here's where it earns its keep and where it has to be fenced out.
What the OPC Foundation's Field eXchange profile actually standardizes between controllers, the TSN and Ethernet-APL wires underneath, and where it isn't ready yet.
How infrared inspection turns invisible heat into lead time before a connection fails.
How years of plant tag history move out of the historian into an open, queryable lakehouse, walked layer by layer from sensor to served model.
How to turn historian energy and throughput data into a supplier-specific Scope 3 footprint an auditor will accept.
Why cell plants still scrap 15-30% of early output, and how inline measurement and cell genealogy move defect detection from the gate back to the coater.
Industry 4.0's standardized digital twin was optional for a decade. EU product law just made it a market-access requirement.
How one MQTT broker, the Sparkplug state model, and an ISA-95 topic tree replace a plant's point-to-point integration sprawl.
Who counts as a deployer, when plant AI is high-risk, and the deadlines that land on the factory floor.
Six claims that ride in on the agentic AI procurement deck, and why each one breaks against a deterministic control room.