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…
Answering the audience’s questions Integrating 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…
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…
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…
Agentic AI in manufacturing improves product quality and decision-making speed only when introduced with strong data foundations, layered governance, and human-in-the-loop oversight. At the AI Frontiers 2025 event, leaders from Arch Systems, ZF Group, CESMII, and…
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…