Eliminating repetitive tasks, this Generative AI-powered assistant allows users to collaborate, supports simplification of application development and brings quality solutions to market faster.
According to Schneider, industrial copilots are increasingly adopted to address labour shortages and enhance complex operations. They empower workers by reducing mental strain, providing support, and retaining knowledge despite high turnover. By automating routine tasks, copilots boost productivity and allow workers to focus on complex activities. They improve efficiency with real-time recommendations, leading to smoother operations and quicker decisions. Copilots also minimise machine downtime with immediate troubleshooting and predictive maintenance, integrate data for better decision-making, and reduce manual work, saving costs.
“We are at a pivotal moment where industry must achieve unprecedented levels of flexibility and efficiency with Generative AI. Our Copilot, developed in collaboration with Microsoft and leveraging our deep domain expertise, is designed to improve industrial competitiveness by boosting worker confidence, simplifying processes, and bridging skills gaps,” said Aurelien LeSant, chief technology officer at Schneider Electric, Industrial Automation. “This innovative solution proactively assists engineers in adding complex functionalities, such as new production lines, with simple steps by pre-generating code, checking for errors, and improving the reuse of existing libraries. It allows engineers and operators to leverage Schneider Electric's industrial Data Sets to bring systems online faster and optimize them for long-term success.”
The Copilot will be available within Schneider’s newly launched unified automation environment, EcoStruxure Automation Expert Platform. The EcoStruxure Automation Expert Platform integrates across various hardware and software platforms, enhancing collaboration between copilots, operators, and engineers by incorporating real-time data access, which is crucial for providing accurate recommendations, predictive maintenance, and immediate troubleshooting.