Artificial Intelligence in the OT
From Vision to Production
- Precision: AI detects patterns that remain invisible to the human eye.
- Locality: Edge AI enables intelligent analysis without the need for the cloud.
- Efficiency: Automated optimization of parameters in real time.
- Foundation: Clean data structures as essential fuel for algorithms.
AI Needs a Solid Foundation
Artificial intelligence is often touted as a panacea, but in reality, many AI projects fail due to poor data quality in the OT. AI is only as smart as the data it is fed. The “IT back to OT” approach creates the necessary conditions here: Only when data flows in a structured, contextualized, and seamless manner via a Unified Namespace (UNS) can AI be trained effectively and deliver reliable results.
Edge AI: Intelligence with Data Privacy
“Edge AI” is the way to go, especially for companies that are cautious about data protection. With this approach, AI-driven data processing takes place directly on the factory floor, rather than sending sensitive process data over the internet. The AI learns and makes decisions locally. This not only guarantees minimal latency for real-time responses but also ensures that your valuable production know-how never has to leave the factory premises.
From Predictive to Prescriptive
While traditional analytics show what has happened, AI goes two steps further. Predictive maintenance predicts when a component will fail. The next level, prescriptive analytics, provides direct recommendations for action: “Reduce the speed by 5% to prevent overheating.” In this way, AI becomes a digital expert working alongside your employees, proactively helping to minimize scrap and increase OEE (Overall Equipment Effectiveness).
Scalable intelligence instead of siloed solutions
AI should not be an isolated experiment in production. Using modern IT methods such as containerization, AI models can be deployed to hundreds of edge devices worldwide—just like an app—and updated centrally. This makes intelligence scalable. Those who professionalize their OT IT infrastructure today are building the launchpad for AI applications that will make the decisive difference in global competition tomorrow.
AI in Practice – with pronubes
pronubes is the ideal enabler for your AI strategy. The platform provides the high-quality, structured data that algorithms require, while also offering the infrastructure to run AI models securely and locally at the edge—enabling intelligent decisions right where they’re needed.
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