Page 19 - Federal Computer Week, May/June 2019

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Taking raw data and transforming it into valuable intelligence goes beyond analytics to encourage creative new ways of looking at data.
and size. To be useful, all that data needs to be ingested at the rate it’s being generated. Deriving valuable intelligence requires reactive solutions that can support the demand for faster performance.
4. Artificial intelligence. AI, machine learning and deep learning rely on high-performance, scalable solutions. For example, the Energy Department’s national labs are analyzing massive
amounts of data more efficiently with
the help of supercomputers, which also enable the National Institutes of Health to advance the insights gained from genome sequencing.
In addition, the Department of Veterans Affairs’ Million Veteran Program will result in one of the largest databases of medical information. Researchers will use it to study diseases and ultimately
develop new treatments and medicine. Taking raw data and transforming it
into valuable intelligence goes beyond analytics to encourage creative new ways of looking at data. It is a paradigm shift that is fueling agencies’ progress on modernization.
Ed Krejcik is manager of Isilon systems engineers at Dell EMC.
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