Bolick also cited the example of specialty-gas supplier Air Products, which has been able to save large amounts of energy by using analytics tools to monitorandpredict consumer demand and thereby optimize timing and efficiency of delivery routes.
Multiply that by millions of customers in a metro area, and a smart grid can produce a data set large enough to monitor power demand in real time andpredict probable outages before they occur.
In our struggle to manage billions of bytes of data, technology spawned the use of algorithms (mathematical formulas) that monitor words and phrases to expose and even predict problematic behaviors.
This can be achieved by learning from other customer experiences, leveraging historical trends, monitor sensors on devices and having smart analytical information to predict future issues.