TECH & AI
As AI adoption surges, data centres are having to evolve in order to prioritise sustainability. The growing energy demands of AI is starting to present a significant challenge. Training a single AI model can emit tonnes of carbon dioxide, which is very significant when considering the number of data centres operating worldwide.
To address this, the data centre industry has started developing strategies to be more energy efficient. This requires significant collaboration with stakeholders and higher levels of computing innovation. The path forward lies in balancing AI’ s potential with its environmental costs.
Some technology leaders, however, are advocating for AI’ s ability to actually improve sustainable progress. Kyndryl, a major player in the IT infrastructure services market, is just one company that is leveraging AI to optimise data centre operations and improve sustainability.
Making the most of AI Nick Drouet, Chief Technology Officer for Kyndryl UK & I, is responsible for how the company tackles the most complex challenges Kyndryl customers face.
“ AI and machine learning( AI / ML) are fundamentally reshaping the data centre market, driving efficiency, automation and sustainability,” he shares.“ These technologies are not only optimising operations but also redefining how data centres are designed, managed and scaled.”
Kyndryl’ s Data Center Advisor platform harnesses AI / ML to analyse operational
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