In 2021, Schneider Electric released its AI at Scale strategy and established a global AI Hub focused on data analytics, led by Philippe Rambach, Chief Artificial Intelligence Officer
•AI is a good opportunity to create new business value and achieve cost reduction and efficiency

8C-PCNT01 Schneider Electric, a global expert in digital transformation in energy management and automation, has announced the progress it has made since the launch of its AI at Scale strategy. Since 2021, Schneider Electric has brought in more than 200 professionals in the field of artificial intelligence (AI), laying a solid foundation for further expanding revenue sources, reducing costs and increasing efficiency.

In the past year, Schneider Electric has taken multiple measures to comprehensively promote the AI strategic layout:
• Philippe Rambach appointed as the first Chief Artificial Intelligence Officer;
• Establish AI hubs on a global scale and adopt a matrix operating model;
• More than 200 AI and data experts;
• Applied for 18 AI technology patents;
• Leverage AI capabilities to enhance 15 solutions;
• Develop more than 20 internal AI applications;
• Build an AI knowledge base

8C-PCNT01 Designed to help customers address pressing challenges, the AI Hub works with Schneider Electric’s businesses and functions to prioritize AI use cases with greater application value. In addition, the AI Hub focuses on efficiency improvement and sustainable development, promoting the application of AI technology in areas such as electrification, automation and decarbonization, covering various fields such as microgrid management, alarm management and building HVAC system optimization, electric vehicle management, smart charging and asset management. At present, Schneider Electric can provide EcoStruxureTM resource Advisor, EcoStruxure Microgrid Energy Advisor, EcoStruxure Autonomous Production Advisor and other AI services.

8C-PCNT01 AI empowers sustainable development

Peter Weckesser, Chief Digital Officer at Schneider Electric, said: “Today, there is a huge demand from customers to leverage data to improve operational efficiency, electrify and automate. As energy costs continue to climb, many customers are looking to AI applications to manage, forecast, and optimize their energy use. At Schneider Electric, we are using AI to drive data-driven decision making, increase agility and achieve our decarbonization goals. For companies, resource efficiency and energy conservation are increasingly having a positive impact on profitability.”

First year as chief AI officer

8C-PCNT01 Philippe Rambach, Chief Artificial Intelligence Officer at Schneider Electric, said: “Schneider Electric is committed to promoting the high-quality development of AI technology, pushing the boundaries of AI technology, and contributing to the global climate challenge. We are excited to strengthen the AI technology foundation of our products and services through continuous exploration. In addition, thanks to advanced AI technology and expertise, Schneider Electric is a partner to help companies meet challenges and grow their businesses.”

AI applications improve internal efficiency

The Schneider Electric AI Hub works closely with team departments to reduce tedious daily manual activities, giving employees more time to devote to customers, data analysis, continuous business improvement and real-time decision making, and improve internal efficiency.

Internally, Schneider Electric has launched a virtual sales Assistant that offers a complete ecosystem of connected tools and data-driven sales efficiency. In addition, virtual sales assistants can provide actionable, customized recommendations, such as product recommendations, ordering patterns, or product delisting.

Today, the AI Hub is working to strengthen applications in customer support, finance, global supply chain, sales, human resources and other areas, and is expected to achieve significant efficiency gains and significant cost savings by 2025.