“AI will always keep the human at the center, it’s a guidance tool, not a replacement,” says Kim Custeau, Executive Vice President at AVEVA. What does that mean for the future of industrial operations? In this episode of AI at Scale, Kim shares how AI is moving beyond hype to become a practical enabler of efficiency, resilience, and sustainability.

In this episode, you’ll learn:

• Why AI adoption should begin with clear use cases.

• How embedded AI assistants democratize access to trusted data and preserve critical knowledge for new employees.

• How AI-driven automation of complex tasks boosts efficiency while keeping humans in control.

• Practical steps leaders can take today to prepare their teams for dynamic, personalized AI-driven operations.

AI is just a tool, but when strategically deployed, it can become the key to more efficient future of energy and industry. In this special episode of AI at Scale, recorded live at Innovation Summit Copenhagen, Schneider Electric’s Chief AI Officer, Philippe Rambach, shares how the company innovates with AI by implementing it across the entire portfolio. This deployment at scale is focused on solving real-world problems: optimizing energy consumption, extending asset lifecycles, and empowering engineers with intelligent tools that boost productivity and reduce operational workloads.

What if AI could address the most persistent challenges in the industry? In this episode of AI at Scale podcast Malini Nambiar, Digital Customer Innovation Director for AI Applications at Schneider Electric, tells the story of how customer insights helped develop a GenAI assistant that solves some of the most pressing pain points of industrial companies: talent gap, long learning curves, legacy programming languages and time-consuming code customization.

The solution: Industrial Copilot for PLC. Built on Schneider Electric’s trusted PLC libraries, it helps developers generate robust, working code—fast.