Siemens’ Senseye predictive maintenance now boasts a cutting-edge AI feature, transforming routine checks into a streamlined, intuitive process.

Siemens is enhancing its Senseye predictive maintenance software by incorporating generative AI, alongside existing machine learning capabilities. This addition aims to revolutionize how industrial companies manage maintenance through intuitive, conversational user interfaces and advanced data analysis.

Set to launch this spring, the upgraded software allows for more dynamic interaction between users, AI, and maintenance experts, facilitating quicker, more informed decision-making. By analyzing data across multiple languages and systems, the AI feature provides comprehensive insights and recommendations, improving maintenance efficiency.

The integration of generative AI enables Senseye to process information from various maintenance software, ensuring a seamless experience across different platforms. Moreover, Siemens emphasizes the security of data within a private cloud environment, ensuring confidentiality and integrity of operational information.

Since acquiring Senseye in 2022, Siemens has leveraged the UK-based company’s expertise in IoT sensing and analytics to reduce machine downtime and enhance maintenance staff productivity significantly. Senseye’s solution, celebrated for its accessibility to those without a data science background, serves a wide range of industries, demonstrating its versatility and effectiveness in improving industrial maintenance practices.