Schneider Electric: New AI Copilot for Industrial Sector
Schneider Electric has revealed a new industrial Copilot developed in collaboration with Microsoft. This aligns with its mutual goal of integrating Azure AI Foundry with Schneider's industrial automation solutions to meet the increasing need for efficiency amidst workforce shortages in manufacturing sectors.
Positioned within Schneider's latest EcoStruxure Automation Expert Platform, this AI assistant aims to tackle repetitive industrial tasks, enhancing application development. The company highlights that this functionality will assist engineers and operators in accelerating the online integration of systems, optimising them for sustained operational productivity.
“We are at a pivotal moment where industry must achieve unprecedented levels of flexibility and efficiency with generative AI (Gen AI),” says Aurelien LeSant, Chief Technology Officer for Schneider’s Industrial Automation division. “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.”
Schneider Electric EcoStruxure platform provides foundation for industrial AI
The newly developed industrial Copilot is anchored in Schneider Electric's robust existing automation infrastructure, specifically the EcoStruxure Automation Expert platform, reputed to be the world’s leading open software-defined automation solution.
This technological framework is vital for integrating Gen AI capabilities in industrial contexts, where the reliability of the system is critical.
The integration of hardware and software enables the Copilot to access and act upon real-time operational data.
This feature is crucial for the Copilot's ability to offer recommendations, troubleshoot issues and aid in predictive maintenance. Such connectivity is essential for industrial AI applications, which require ongoing contextual awareness of facility conditions to deliver pertinent advice.
“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,” Aurelien explains. “It allows engineers and operators to leverage Schneider Electric’s industrial Data Sets to bring systems online faster and optimise them for long-term success.”
This technical setup merges Microsoft’s cloud AI infrastructure with Schneider’s expertise in industrial domains, facilitating a practical implementation of Gen AI within the manufacturing and processing industry.
- Workforce Empowerment - Reducing mental strain on workers and providing support during high turnover periods
- Operational Efficiency - Automating routine tasks to allow workers to focus on complex activities requiring judgment
- Maintenance Optimisation - Minimising equipment downtime through immediate troubleshooting and predictive maintenance
Industrial copilot market grows amid labour shortages, and Schneider Electric positions for automation expansion
The unfolding narrative of industrial Copilot adoption across manufacturing sectors emerges amid ongoing workforce shortages. These AI assistants present solutions to various industrial dilemmas including retaining knowledge during high turnover seasons and navigating the intricacies of contemporary manufacturing operations.
For Schneider Electric, this Copilot initiative extends its industrial automation portfolio which focuses on open, software-defined systems. With a presence in over 100 countries, about 150,000 employees, and a broad partner network surpassing one million organisations, the company is well-positioned to expand in the automation space.
Our Copilot allows engineers and operators to leverage Schneider Electric's industrial Data Sets to bring systems online faster and optimise them for long-term success.
The industrial Copilot's aim is to diminish operator burden by automating monotonous tasks, thereby allowing people to concentrate on intricate activities that require judgment and expertise.
Moreover, the system's ability to amalgamate data from myriad sources provides context-aware recommendations, further enhancing operational strategies.
“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,” Aurelien says. “It allows engineers and operators to leverage Schneider Electric’s industrial Data Sets to bring systems online faster and optimise them for long-term success.”
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