The article discusses how Siemens, a major industrial technology company, is leveraging artificial intelligence (AI) to predict when industrial machines and equipment will require maintenance or repairs. By analyzing data from sensors and other sources, Siemens’ AI system can detect patterns and anomalies that indicate potential issues, allowing for proactive maintenance and minimizing costly downtime. The AI system considers factors like vibration, temperature, and pressure to assess the health of machines and infrastructure. Siemens aims to reduce maintenance costs and increase productivity for its customers across various industries, including energy, manufacturing, and transportation. The company’s AI solution is part of its broader digital transformation efforts, combining advanced analytics, the Internet of Things (IoT), and cloud computing to optimize industrial operations. The article highlights the growing importance of predictive maintenance powered by AI in the industrial sector.