TECH & AI
a data centre environment is a huge challenge . The margin for error is very slim , with any hiccup having huge knock-on effects for the organisation – including potential blackouts . As such , training AI models involves thorough planning and careful deployment over an extended period of time .”
He also describes Gen AI in a data centre as “ an ongoing process that should follow DevOps methodologies .”
With these technologies holding the power and potential to digitally transform data centres , inevitably this comes with its risks . Given that the data centre holds a pivotal role in storing , processing and managing huge swathes of critical data
US $ 76bn operating costs for data centres by 2028 ( Source : Forbes )
42 % growth expected for the Gen AI market , from US $ 40bn in 2022 to US $ 1.3tn over the next decade ( Source : Bloomberg Intelligence ) and sensitive information , AI could be used negatively by cyber criminals to infiltrate and extract data .
Cyberattacks are continually rising and becoming more sophisticated and , unfortunately , businesses are not yet equipped enough to handle the strain . Whilst Gen AI could be used negatively in this way , it can also be used as a tool for data centres to improve their digital defences .
As AI systems continue to evolve and transform , data centre operators must also be mindful of the ethical risks . If these warnings are ignored , customers and partners could be catastrophically impacted . To avoid these , industry professionals
“ DATA CENTRE OPERATORS MUST KEEP IN MIND THE RISK OF AI BEHAVING UNPREDICTABLY AND POTENTIALLY HARMING THEIR CUSTOMERS ”
SASCHA GIESE TECH EVANGELIST , SOLARWINDS