Citizens shouldn’t rely only on the law to protect their data, according to Will Ackerly, co-founder and chief technology officer at Virtru and former cloud security architect at the National Security Agency. […]

Machine learning and artificial intelligence are needed to bridge the gap between the volume of government intelligence data and the number of people capable of analyzing it, according to Jason Matheny, director of the Intelligence Advanced Research Project Activity (IARPA).






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If Congress wants Federal agencies to get better at big data collaboration, they should start by fixing the outdated Privacy Act, according to Jessica Kahn, director of the data and systems group at the Center for Medicaid and Children’s Health Insurance Program Services.






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Many Federal agencies oversee vast amounts of big data, from medical records to socioeconomic information. Seventy percent to 80 percent of data analytics work is preparing the data for its specific purpose, according to Adam Wilson, CEO of Trifacta, who spoke at Cloudera’s Government Forum on April 25.






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The National Technical Information Service announced on April 10 that it has selected Booz Allen Hamilton as one of its initial partners for the Joint Venture Program. The purpose of the JVP is to pair Federal agencies that accumulate massive amounts of data with organizations that can help them manage that data. NTIS selected Booz […] […]

Federal agencies are hemorrhaging billions of dollars every year due to fraud, waste, and improper payments, according to the Government Accountability Office. And the problem may be getting worse. MeriTalk spoke with a wide range of private sector experts about how the government can begin to reverse this trend.






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It may sound like a Hollywood thriller, but thanks to new capabilities developed by Hitachi Data Systems as part of its Visualization Suite, being able to tell the story of a crime that recently happened or is about to happen just got very real.






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