Schneider Electric & Microsoft: AI for Supply Chains

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Schneider Electric has unveiled an industrial copilot developed in collaboration with Microsoft. Credit: Getty
Schneider Electric unveils generative AI assistant to support supply chain resilience, developed with Microsoft to address industry workforce challenges

Schneider Electric has introduced a cutting-edge industrial copilot, crafted in partnership with Microsoft. This initiative merges Azure AI Foundry with Schneider’s industrial automation expertise, aiming to boost supply chain efficiency amidst a landscape riddled with labour shortages and demands for heightened productivity.

Aurelien LeSant, CTO Industrial Automation, Schneider Electric

Housed within Schneider’s newly released EcoStruxure Automation Expert Platform, the AI assistant targets the reduction of repetitive tasks and aids in streamlining application development.

According to Schneider, these functionalities are designed to quicken system deployment by engineers and operators while tuning them for enduring operational excellence.

“We are at a pivotal moment where industry must achieve unprecedented levels of flexibility and efficiency with 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.”

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Strengthening supply chain through enhanced automation

This innovative copilot is built on the robust foundation of Schneider Electric’s EcoStruxure Automation Expert platform. Touted as the world’s first software-defined open automation solution, this platform forms the backbone required to implement Gen AI capabilities within industrial settings.

The dependability of systems remains crucial in these environments, where enhanced automation can significantly aid in achieving operational objectives.

KEY AIMS OF THE SCHNEIDER-MICROSOFT PARTNERSHIP
  • 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

The integration of hardware and software platforms facilitates the copilot’s access to live operational data. This real-time data is fundamental in forming accurate recommendations, facilitating troubleshooting and executing predictive maintenance tasks.

This interoperability is a vital component for industrial AI applications, ensuring they stay informed about the operational state of facilities to offer relevant guidance.

“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.”

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.

Aurelien LeSant, Chief Technology Officer, Schneider Electric Industrial Automation

Strategic expansion in automated solutions

As the adoption of industrial copilots becomes more widespread across manufacturing sectors, Schneider Electric’s latest effort signals its commitment to evolving and expanding its automation solutions.

Addressing key challenges such as labour shortages, knowledge retention during times of high employee turnover and the intricacies of advanced manufacturing processes, the copilot demonstrates the company’s strategic vision.

By alleviating concerns over repetitive tasks, the AI copilot frees up valuable human resources to focus on more intricate roles that demand critical judgment and specialised experience.

The system's ability to integrate diverse data sources provides context-aware advice that can propel operational enhancements, solidifying its role as a crucial tool in modern supply chain management.

“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,” says Aurelien. “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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