APPLICATIONS
intelligent automation that enables faster decision-making and response times and uptime through predictive insights that help prevent failures before they occur.
Energy efficiency and sustainability Beyond preventing breakdowns, AI-driven predictive maintenance is emerging as a powerful tool for environmental sustainability.
Schneider Electric’ s approach demonstrates how predictive analytics can simultaneously improve operational efficiency and reduce carbon emissions.
The company’ s Energy Command Centre functions as a centralised, AI-powered hub that optimises energy consumption across multiple assets within a building or even across entire campuses and cities. The platform integrates data from HVAC, lighting, data centres and other critical systems, delivering real-time monitoring, predictive maintenance and integration with existing infrastructure.
At Capgemini’ s 23 campuses in India, the ECC decreased energy consumption by 25GWh and saved € 3m( US $ 3.5m) while shifting to 100 % renewable electricity. Elsewhere, at Volkswagen’ s Poznań plant in Poland, AI optimisation cut electricity use by 12 %, lowering both energy costs and CO₂ emissions.
66 March 2026