Siemens, a German technology giant, is leveraging artificial intelligence (AI) to tackle challenges in the industrial sector, including safety, sustainability, and workforce shortages.
Peter Koerte, Siemens' Chief Technology Officer, emphasized the importance of AI being safe, reliable, and trustworthy in industrial applications. The company has invested in AI for nearly 50 years, offering products that enhance productivity and predict maintenance issues across various industries.
One of Siemens' notable offerings is Senseye Predictive Maintenance, which analyzes data from machinery to forecast maintenance needs, resulting in a 40% reduction in maintenance costs and a 55% increase in staff productivity for users.
Recently, Siemens launched Industrial Copilot, a generative AI assistant designed for engineers. This tool automates code generation and problem identification, enhancing human-machine collaboration and addressing workforce shortages.
Koerte noted that companies using these AI solutions have significantly improved operational efficiency, with BlueScope steel company utilizing predictive maintenance to minimize downtime and maximize production.
Siemens is also exploring new AI applications, including using large language models for product design, which could revolutionize the automotive sector by speeding up the creation of high-quality products.