
Five names for one pump: building AI agents for SCADA
AI agents for SCADA need more than a connection: an engineer-confirmed plant model, permissions on one page and the operator's decision. One pump shows how.
Read the articleArticles from Puffstack on industrial operations and the systems around them.

AI agents for SCADA need more than a connection: an engineer-confirmed plant model, permissions on one page and the operator's decision. One pump shows how.
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How industrial software can connect operating context to clear decisions, with examples from chemical treatment and alarm management.
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Why sustainability reporting needs a clearer connection between operating measurements and the people who rely on them.
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Why an AI strategy needs to address connected workflows and organizational knowledge across the business.
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Why modular design matters when extending legacy infrastructure and planning for changing operating needs.
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How industrial teams can plan beyond an AI pilot, test results and prepare for wider deployment.
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The opportunities and integration challenges of applying AI to existing embedded hardware and control systems.
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The case for basic coding knowledge as a bridge between technical and business teams.
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A comparison of cache-augmented generation and retrieval-augmented generation for managing knowledge in language-model applications.
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How device configuration and fragmented documentation can delay IoT projects, and where AI-assisted support may help.
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How company size shapes AI agent adoption, control choices and deployment priorities.
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