Siemens has developed an approach to implementing probabilistic AI systems within its industrial operations, which traditionally operate in deterministic environments requiring precise, predictable outcomes. The German manufacturing conglomerate addresses the challenge of reconciling AI’s probabilistic nature with the deterministic requirements of industrial processes and equipment. The company’s strategy demonstrates how large-scale industrial enterprises are adapting machine learning technologies to function within their existing operational constraints.