The generative AI-powered solution is designed to support every stage of the maintenance cycle, from repair and prevention to prediction and optimization.
Siemens has announced an expansion of its Industrial Copilot offering, introducing new capabilities for Senseye Predictive Maintenance. The generative AI-powered solution is designed to support every stage of the maintenance cycle, from repair and prevention to prediction and optimization. The Siemens Industrial Copilot aims to leverage generative AI across the entire value chain, from design and planning to engineering, operations, and services. For instance, the AI-powered assistant helps engineering teams generate code for programmable logic controllers, speeding up SCL code generation by an estimated 60 percent, reducing errors, and minimizing the need for specialized knowledge. Siemens is enhancing its Industrial Copilot offerings with an advanced maintenance solution, intended to redefine industrial maintenance strategies. The Senseye Predictive Maintenance solution, powered by Microsoft Azure, will be extended with two new offerings: Entry Package: Provides an accessible introduction to predictive maintenance, combining AI-powered repair guidance with basic predictive capabilities. It helps businesses transition from reactive to condition-based maintenance. Scale Package: Designed for enterprises looking to transform their maintenance strategy, this package integrates Senseye Predictive Maintenance with the full Maintenance Copilot functionality, enabling customers to predict failures, maximize uptime, and reduce costs. The new offering is expected to provide comprehensive coverage of the entire maintenance cycle, from reactive repair to predictive and preventive strategies, leveraging generative AI-driven insights to enhance decision-making and efficiency. “This expansion of our Industrial Copilot marks a significant step in our mission to transform maintenance operations,” said Margherita Adragna, CEO Customer Services at Siemens Digital Industries. “By extending our predictive maintenance solutions, we’re enabling industries to seamlessly shift from reactive to proactive maintenance strategies and drive efficiency and resilience in an increasingly complex industrial landscape.”
