Siemens Offers New Generative AI-Powered Maintenance
The generative AI-powered solution supports every stage of the maintenance cycle, from repair and prevention to prediction and optimization.
Siemens expands Industrial Copilot with its new generative AI-powered maintenance offering. (Source: Siemens AG)
The Siemens Industrial Copilot is revolutionizing industry by enabling customers to leverage generative AI across the entire value chain -- 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 minimizing errors and reducing the need for specialized knowledge. This in turn reduces development time and boosts quality and productivity over the long term.
Siemens is developing a full suite of copilots to industrial-grade standards for the discrete and process manufacturing industries -- and is now strengthening its Industrial Copilot offerings with the launch of an advanced maintenance solution, designed to redefine industrial maintenance strategies.
Siemens brings generative AI to the entire maintenance cycle
Predictive Maintenance Software directly addresses key manufacturer challenges, minimizing downtime and optimizing resource allocation for maximum efficiency and growth. (Source: Siemens AG)
The new generative AI-powered solution will support every stage of the maintenance cycle, by helping industries move beyond traditional maintenance practices toward an intelligent, data-driven approach. To realize this, the Senseye Predictive Maintenance solution powered by Microsoft Azure will be extended with two new offerings:
Entry Package: This solution provides an accessible and cost-effective introduction to predictive maintenance, combining AI-powered repair guidance with basic predictive capabilities. It helps businesses transition from reactive to condition-based maintenance 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, improve maintenance efficiency, and lay the foundation for full predictive maintenance.
Scale Package: Designed for enterprises looking to fully transform their maintenance strategy, this package integrates Senseye Predictive Maintenance with the full Maintenance Copilot functionality. It enables customers to predict failures before they happen, maximize 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, optimizing operations across multiple sites while supporting long-term efficiency and resilience.
VIDEO: The Future of Predictive Maintenance Today: Introducing Maintenance Copilot Senseye
The new offering enables comprehensive coverage of the entire maintenance cycle -- from reactive repair to predictive and preventive strategies -- by leveraging generative AI-driven insights that enhance decision-making and efficiency across industrial environments.
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