- TheĀ Siemens Industrial Copilot, a generative AI-based assistant, is empowering customers across the entire value chain ā from design and planning to engineering, operations, and services
ā¢Ā Siemensexpands itsĀ Industrial Copilotoffering with extended capabilities forĀ Senseye Predictive Maintenance
ā¢ The generative AI-powered solution will support every stage of theĀ maintenanceĀ cycle, from repair and prevention to prediction and optimisation
The Siemens Industrial CopilotĀ is revolutionising industry by enabling customers to leverage generative AI across the entire value chain ā from design and planning to engineering, operations, and services. For example, the generative AI-powered assistant empowers engineering teams to generate code for programmable logic controllers using their native language, speeding up SCL code generation by an estimated 60% while minimising errors and reducing the need for specialised knowledge. This in turn reduces development time and boosts quality and productivity over the long term.
SiemensĀ is developing a full suite of copilots to industrial-grade standards for the discrete and process manufacturing industries ā and is now strengthening itsĀ Industrial CopilotĀ offerings with the launch of an advancedĀ maintenanceĀ solution, designed to redefineĀ industrial maintenanceĀ strategies.
Siemens brings generative AI to the entire maintenance cycle
The new generative AI-powered solution will support every stage of the maintenance cycle, by helping industries move beyond traditionalĀ maintenanceĀ practices towards an intelligent, data-driven approach. To realise this, theĀ Senseye Predictive Maintenance solutionĀ powered by Microsoft Azure will be extended with two new offerings:
Entry Package
This solution provides an accessible and cost-effective introduction to predictiveĀ maintenance, combining AI-powered repair guidance with basic predictive capabilities. It helps businesses transition from reactive to condition-basedĀ maintenanceĀ by offering limited connectivity for sensor data collection and real-time condition monitoring. With AI-assisted troubleshooting and minimal infrastructure requirements, companies can reduce downtime, improveĀ maintenanceĀ efficiency, and lay the foundation for full predictive maintenance.
Designed for enterprises looking to fully transform theirĀ maintenanceĀ strategy, this package integratesĀ Senseye Predictive MaintenanceĀ with the fullĀ MaintenanceĀ CopilotĀ functionality. It enables customers to predict failures before they happen, maximise uptime, and reduce costs with AI-driven insights. Offering enterprise-wide scalability, automated diagnostics, and sustainable business outcomes, this solution helps companies move beyond traditional maintenance, optimising operations across multiple sites while supporting long-term efficiency and resilience.
Scale Package
The Role of Digital Twins
The new offering enables comprehensive coverage of the entireĀ maintenanceĀ cycle ā from reactive repair to predictive and preventive strategies ā by leveraging generative AI-driven insights that enhance decision-making and efficiency across industrial environments.
As industries increasingly seek ways to enhance reliability and reduce costs,Ā maintenanceĀ operations are evolving from reactive to proactive approaches. TraditionalĀ maintenanceĀ strategies often lead to costly downtime and other inefficiencies.Ā SiemensĀ addresses this challenge by integrating AI-drivenĀ maintenanceĀ solutions that help companies optimise their asset performance and maximise operational uptime. The fusion of generative AI and predictiveĀ maintenanceĀ allows customers to harness real-time data and advanced analytics that ensure timely interventions and strategic planning. First pilot use cases have shown that theĀ Industrial CopilotĀ forĀ maintenanceĀ helps save on average 25% reactive maintenance time.
āThis expansion of ourĀ Industrial CopilotĀ marks a significant step in our mission to transformĀ maintenanceĀ operations,ā said Margherita Adragna, CEO Customer Services atĀ Siemens Digital Industries. āBy extending our predictiveĀ maintenanceĀ solutions, weāre enabling industries to seamlessly shift from reactive to proactiveĀ maintenanceĀ strategies and drive efficiency and resilience in an increasingly complex industrial landscape.ā
With this innovation,Ā SiemensĀ continues to advance its vision of a digitalised industry, by providing customers with an intelligent and integrated approach toĀ maintenanceĀ that ensures long-term operational success.
