Posted in Center News: Wednesday, December 31, 1969
Like the physical universe, the digital universe is expanding rapidly, a steady stream of YouTube clips, financial transactions, sensor data, and much more that’s projected to double every two years through 2020.
By itself, this growing, global data pool is unremarkable, but recent improvements in statistical and computational methods have resulted in machine-learning systems that can make sense of large data sets, providing useful insights to industries as diverse as retailing, health care, transportation, engineering and education.
For industry leaders and scientists, the harnessing of big data promises increased efficiency, new discoveries and informed decision-making backed by statistical evidence.
Critics of the data revolution, however, question if people can trust automated systems that vastly exceed human-level decision-making abilities. In short, will big data lead to big trouble?
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