storing it , using it , and optimising it – will definitely be one thing that will grow ,” Turk says .
“ If we take the simple example of battery storage and apply AR or ML technologies to it , we can optimise it and increase the battery lifetime by around 10 %. This is because we can share the load more equally , and we can also see the relative health of different battery cells ( which ones have the higher cycles and which have the lower cycles ). And , using ML , we can divide the energy in a better way , allowing us to increase efficiency .”
The power of AR and ML Alongside the increasing adoption of AR , machine learning ( ML ) technologies are also proving a critical advantage for data centres .
“ Today , it ' s picking up slowly , but machine learning is coming ,” Turk says . “ If the data centre operator has the same size of data centres , with the same design across its sites , in many locations , they can use ML very effectively .
“ So , if something happens on one site , they can do the learning and then see – maybe if they have the same issue on another site – what they should do
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