TECH & AI decisions , reduce costs and minimise their environmental footprint .
“ The development of AI algorithms specifically designed for cognitive infrastructure will further enhance the capabilities of smart energy systems . These algorithms will enable data centres and other industries to make intelligent decisions in real-time , optimising energy usage , predicting equipment failures and proactively managing power consumption .
“ By leveraging AI ’ s ability to analyse vast amounts of data and learn from patterns and trends , data centres can continuously improve their energy efficiency and reduce their environmental impact .”
Winther also cites the value of these new technologies to unlock renewable energy solutions . He says : “ AI can help optimise the integration of intermittent renewable sources like solar and wind power into the energy grid . By analysing weather patterns , energy demand and supply , AI algorithms can determine the most efficient and effective ways to use renewable energy resources .
“ This integration will not only reduce reliance on fossil fuels but also contribute to the stability and resilience of a more sustainable power grid .”
As Gen AI , and AI more generally , continues to evolve over the next twelve months , it is clear that the data centre will continue to innovate and push boundaries . From energy , to security , to operations , AI advancements could hold the key to creating a digitally resilient and sustainable industry that is well-equipped to handle rising demand . datacentremagazine . com 143