At the AI Frontiers event, the session “Agentic AI & Integrated Data Workflows: Extracting Value from Existing Manufacturing Systems” drew an engaged audience eager to probe real-world challenges. Their questions cut straight to the heart of manufacturers’ struggles with IIoT and agentic AI — from wrangling messy data to bridging IT/OT divides.Here are five of […]
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Answering the audience’s questionsIntegrating agentic AI into legacy manufacturing does not require replacing existing infrastructure. Panelists from Litmus, ZF Group, CESMII, and Arch Systems at AI Frontiers 2025 outlined a practical six-part approach: free trapped data, add semantic context through ontologies, respect brownfield reality using interface classes, target repetitive tasks nobody wants to do, start […]
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Managing agentic AI in manufacturing requires governance built on three principles: centralized control, open standards, and traceable data infrastructure. Peter Sorowka, CEO of Cybus, outlines how manufacturers in regulated sectors like pharma and energy can address interoperability, prevent agent sprawl, and track success beyond ROI.How Can Regulations Keep Up With Agentic AI?Risk-based regulatory frameworks are […]
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Agentic AI in manufacturing does not require a multiyear overhaul to deliver value. According to Arch Systems, the fastest path is to start at the human-machine interface (HMI): let the AI assistant read what operators already read, such as HMI views, SCADA trends, shift notes, and SOPs, and provide guidance in advisory mode from day […]
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Answering the audience’s questionsAt the AI Frontiers 2025 event, one audience member posed a question that goes to the heart of modern manufacturing challenges:“When introducing agentic AI into domain-specific workflows, what best practices help manufacturers improve product quality and decision-making speed while minimizing operational risk, especially in highly regulated or safety-critical industries?”A panel of industry leaders—including Andrew Scheuermann, […]
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Agentic AI represents a fundamental shift in how manufacturers deploy artificial intelligence, moving from passive analytics and dashboards to autonomous agents that perceive, decide, and act within operational workflows. Unlike traditional AI copilots that wait for human prompts, agentic systems can independently monitor production lines, adjust process parameters, negotiate with supply chain partners, and escalate […]
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