INDUSTRY INTELLIGENCE POWERED BY THE DCA
Data centres currently are estimated to be using almost 200 terawatt hours ( TWh ) of electricity per year ; that ’ s a staggering 1 % of all global energy consumption .
Parvez Alam Kazi , Head of Product at Smartia
Learning ( ML ) can be used to model complex relationships within the IT infrastructure and help optimise resource utilisation and maintenance schedules . Further , ML can also be used towards better capacity planning by forecasting demand and ( re ) allocating resources across power , cooling and IT accordingly . Another major area where ML can help is risk analysis . In this respect , equipment downtime remains a major challenge within the industry . AI / ML can identify complex patterns in operational machine data and raise alerts when anomalies are detected , enabling data centre operators to perform maintenance before any equipment failure . From a commercial point of view , AI / ML can also help improve customer retention by understanding and pre-empting customer behaviour . Additionally , AI / ML also finds use in financial engineering in order to estimate the total cost of ownership ( TCO ) for IT equipment , making use of operational , performance and financial data .
22 Issue 20 www . intelligentdatacentres . com