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Schneider, NVIDIA and HPE launch AI agents for process plants

Schneider Electric, NVIDIA and HPE announced a collaboration to deploy Industrial AI Agents at the Edge in process industries like oil refining, brewing and paper manufacturing. These agents monitor equipment, recommend or take action, and verify outcomes—all on-site to reduce latency. Three agents will launch first: one for operational technology (OT) monitoring, another for cybersecurity, and…

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Key points

  • Three AI agents target OT monitoring, cybersecurity, and energy optimisation in process plants
  • Energy agent uses real-time data to recommend efficiency adjustments and verify impact
  • CMPC Chile tests Schneider’s OT monitoring system but has not yet deployed the new agents

The energy agent, described as the most advanced, will analyse energy consumption, equipment performance and production needs to identify optimisation opportunities. CMPC Chile, a Latin American pulp and paper producer, is a named customer, having used Schneider’s OT monitoring system for three years. Matías Jory, CMPC’s Digital & Process Manager, called the new agents promising for faster issue resolution while keeping human oversight. Gwenaelle Huet, Schneider’s EVP of Industrial Automation, framed the initiative as a shift toward AI-driven industrial systems beyond autonomous machines.

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Full story from energydigital.com · by James Darley · via Search: NVIDIAOpen source ↗

Schneider, NVIDIA & HPE Take Physical AI to Process Plants

energydigital.com · 30 October 2026

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This text was published by energydigital.com and written by James Darley. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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Schneider ElectricNVIDIAHPECMPC ChileEmpresas CMPCSri KodaliMatías JoryGwenaelle Huet

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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