PROCESS: "AI in the Process Industry" dossier, Publishing Date , June 30, 2027

"AI in the Process Industry" Dossier

In the process industry, artificial intelligence is evolving from an ad hoc efficiency tool into a central operational control factor for plant operations, quality, maintenance, and planning. Agent-based AI, in particular, is gaining importance as it increasingly takes on operational tasks autonomously and coordinates multi-step workflows in maintenance, quality management, and production planning. Traditional applications such as predictive maintenance remain just as relevant as new approaches to prescriptive optimization, in which AI adjusts process parameters in real time to improve yield, energy consumption, and plant stability. Quality control is also increasingly benefiting from AI-powered computer vision, which detects errors early on and enables immediate process correction. Furthermore, AI supports more predictive management of supply chains and inventories, as well as hyperautomation, which seamlessly integrates shop floor and office processes. At the same time, topics such as Explainable AI and governance are gaining importance, as traceability, auditability, and regulatory compliance are becoming increasingly essential. Multimodal, domain-specific AI models capable of jointly processing text, image, and process data are also making AI more practical for complex industrial applications—with particular potential in areas such as chemicals, energy efficiency, maintenance, and compliance.

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