Edison Next’s artificial intelligence already analyzes 1.5 million data points daily to anticipate failure

In a world like today’s, where everything accelerates, there is something we increasingly value: things working properly. That the air conditioning doesn’t fail when it’s needed most. That a solar plant performs at its peak in the height of summer. That an industrial motor doesn’t stop unexpectedly. At Edison Next Spain, we have spent years working to make that happen. And we do it with data, with artificial intelligence and with one idea always in mind: anticipating is always better than reacting. According to data from the International Energy Agency (IEA), energy systems and industrial infrastructure are facing increasing pressure from demand, climate variability and the need to reduce emissions. At the same time, undetected failures or inefficiencies can represent up to a 20% loss in productivity and 30% higher energy consumption. Advanced digitalization and predictive maintenance have become essential tools for ensuring safe, sustainable and efficient operations. That is why we developed Iris, our intelligent fault detection and diagnosis service. Today, this solution already processes more than 1.5 million values per day, collected from 260,000 sensors and actuators distributed across more than 1,460 installations throughout Spain — from hospitals and shopping centers to industries and photovoltaic parks. Behind every figure there is a story: a failure avoided, a technician who did not have to intervene, an operation that did not come to a halt. With more than 300 artificial intelligence models working in parallel, this tool is capable of learning the normal behavior of each piece of equipment, recognizing patterns and triggering alerts as soon as something out of the ordinary is detected. It analyzes more than 16 million samples daily, in real time — not to observe, but to act. To turn data into decisions and foresight into value: that is what we call digital efficiency. And we apply it to air conditioning, pumping systems, solar inverters and any critical infrastructure that requires continuous availability. Thanks to Iris, we not only detect failures before they occur — we also help prioritize them, make more agile decisions and plan maintenance in a smarter way. And that, in the end, translates into lower costs, fewer surprises and a far more efficient use of energy, since when assets perform well, the entire system benefits. At Edison Next Spain, we have never understood digitalization as a trend, but rather as a purposeful tool. Iris is an example of how we apply technology to extend the useful life of installations, reduce unnecessary consumption and advance towards a more resilient, competitive and sustainable energy model. From our perspective, artificial intelligence, properly understood, is one that helps people, takes care of resources and acts precisely when it needs to.