THE ENERGY INTERVIEW
This balancing act also includes grid upgrades to support distributed renewables and electrification, requiring a holistic approach.“ We must simultaneously reinforce grids and deploy AI solutions to manage flexible demand,” he says.
The future of AI in energy management at Schneider Electric Looking ahead, Schneider Electric plans to deepen AI integration to drive efficiency across data centres and buildings.“ The future demands a unified, intelligent, and scalable ecosystem that eliminates data silos and unlocks the full potential of AI to drive efficiency and resilience across operations,” Frédéric explains.
Without this shift, leaders risk fragmented insights, slower decisions, and missed opportunities for growth. However, a unified system would empower building managers and facility operators through intuitive digital control, continuing the trend of AI-enabled simplification and optimisation.
Frédéric also anticipates continued advances in AI-driven cooling and heat extraction technologies for data centres responding to rising computational loads.
“ The complexity and scale of energy management demand smarter, simpler solutions,” Frédéric concludes.“ AI will not replace humans but is an essential enabler, connecting technology and people to use energy more responsibly, efficiently and sustainably.”
energydigital. com 31