Data Centre Magazine April 2024 | Page 156

TECH & AI

“Traditional predictive AI relies on having enough of the right telemetry data , clean information about fault occurrence , and relevant context ”

BILL WILSON CHIEF ENVIRONMENTAL SUSTAINABILITY OFFICER AND HEAD OF DATA & INTELLIGENCE SOLUTIONS , NTT DATA UK & I
naturally scale . This means that the more dense and varied data population there is , the better the data trending , pattern recognition , | insight learning and predictions .
“ The technology evolution driving new product design that incorporates the enablement of data communication as a critical driver will enable algorithms to scale , thanks to enhanced data breadth and quality of the data . Through algorithm evolution , the precision of the prediction related to data trending can continuously improve enabling better learning .”
Bill Wilson , Chief Environmental Sustainability Officer and Head of Data
& Intelligence Solutions at NTT DATA UK & I , has seen the power of predictive maintenance in other industries such as transport , defence , and telecoms – and says he would like to see similar optimisations and problem-solving methods applied in the energy sector .
“ In manufacturing , audio information and audio learning models can partly replace the trained engineer who knows when a machine does not sound healthy ,” he explains . “ Of course ,
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