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The reality is simple : data is the lifeblood of many organizations , and the data center has become the heart . With organizations embracing new technologies -from AI to IoT- and generating more data that will get us into the yottabyte age , data centers are under pressure to do a lot more – and to do it more efficiently and swiftly . Performance demands on server and storage packed tightly in data center racks – in turn , are creating new demands on data center power and environmental infrastructures . Consider this : energy use is expected to continue increasing by around 4 percent a year in data centers .

U . S . data centers alone are projected to consume about 73 billion kWh in 2020 . Many efficiency strategies are already successfully employed in data centers – including emerging technologies , such as predictive analytics and data-driven machine learning . But more needs to be done . Gartner predicts that by 2020 , more than 30 percent of data centers that fail to implement AI and machine learning will cease to be operationally and economically viable .

“ ITs primary function will be to enable the business to be more agile , to enter new markets more quickly , to deliver services closer to the customer , and to position specific workloads based on business , regulatory and geopolitical impacts ,” says

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