The nation’s energy infrastructure is getting equipped with millions of sensors — everything from vibration sensors on nuclear power plants to the internet-connected thermostat on the wall of someone’s house — and is starting to produce data on the scale of petabytes (a million gigabytes). Pretty soon, just about everything will be measured, and knowing what to do with all this data with analytics and machine learning is a looming challenge.

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