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Emerson and SiMa.ai. Deliver Physical AI Intelligence to the Industrial Edge

Emerson and SiMa.ai. Deliver Physical AI Intelligence to the Industrial

articleEmerson Electric CompanyMay 26, 20264/news/emerson-and-simaai-deliver-physical-ai-intelligence-to-the-industrial-edge
Emerson and SiMa.ai. Deliver Physical AI Intelligence to the Industrial Edge

About this update from Emerson Electric Company

Dedicated edge computing embedded in Emerson's industrial PCs is transforming real-time intelligence, enabling smart local action and maintaining high performanceWhy Industrial Edge AI MattersEmerson's next-generation rugged IPCs enable Physical AI to deliver instant, autonomous decision making and execution to improve safety, productivity, reliability and product quality, while reducing capital expenditure (CapEx), waste and energy use.Physical AI continuously integrates and analyzes multiple inputs to enable real-time process and energy optimization, safety monitoring, computer vision, asset performance, anomaly detection for quality inspection and predictive maintenance directly on the factory floor and at remote sites.Local, simultaneous processing of images, video, audio, text and sensor data brings perception and action together at the industrial edge without affecting latency, security or control-compute resources.Emerson's PLCs + AI enabled-IPCs + IIoT ready SCADA /HMI Platform stack delivers a unified industrial edge intelligence platform ideal for future proofing operations.ST. LOUIS, May 26, 2026 /PRNewswire/ -- Global automation leader Emerson (NYSE: EMR) is collaborating with SiMa.ai a leader in Physical AI, to deliver advanced AI capabilities for real-time data analysis on Emerson's industrial PCs in the harshest industrial field environments, on the factory floor and at remote sites.The global industrial AI market reached $43.6 billion in 2024, and according to IOT Analytics, is anticipated to grow at a CAGR of 23% through 2030 to reach $153.9 billion1. A key part of this growth will be AI technology at the industrial edge, empowering companies to analyze data and physically intervene instantly – detecting problems, optimizing quality, taking corrective action and engineering autonomous operations – all without relying on cloud connectivity. Workloads that previously required offline engineering studies, dedicated analytics servers or roundtrips to the cloud now run alongside core processes, turning the IPC into an always-on industrial intelligence platform."As operations teams leverage Physical AI at the edge, they move beyond simple monitoring to closed-loop autonomy where they can adjust processes in real time – minimizing product defects early in the production phase, reducing waste and increasing production efficiency," said Krish...

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