We have seen power savings in real networks from seven percent to 30 percent. Real-world experience shows that AI-driven automation can be implemented in a matter of weeks, making it the most immediate opportunity for large cost savings. How can you apply our AI for energy efficiency solution?

Implementing the AI system over a public cloud can make it even faster by easing the processing and analysis of the large volume and velocity of network data. In effect 85% of the original energy “disappears” and is not used productively.īecause of its software nature, AI-based energy efficiency solutions can be deployed in just a few weeks without major upfront investment - especially thanks to outcome-based Software-as-a-Service (SaaS) business models, which enable you to pay only for the energy savings outcomes you actually achieve. imperative to tackle climate challenge and rising energy costs. Therefore, AI based solutions performing dynamic shutdowns of unused resources are key. From that remaining energy only 30% is really used in a productive revenue generating way since on average most resources are running idle. Power hungry fans and power supplies consume another 20%, only the rest arrives at the chipsets as such and can be used for transmitting traffic. Site solutions for energy are extremely important. 30% of that network energy (35% of the original energy) is consumed by auxiliary passive components such as air conditioning and power systems, so that Only 70% (65% of the original energy) is consumed by the network elements itself. From this remaining energy about 80% is consumed by the radio access, the rest by transport, core and OSS. Did you know 78% of telcos are counting on AI energy solutions to cut network energy use? From the originally produced energy in power plants only 90% “arrive” at the network, so there is already a loss of 10% during energy transmission.

E.v.a radio automation software