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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In a virtually unnoticed message to Congress this month, President Donald Trump outlined his new guiding principles for reforming the Selective Service process, as called for by the 2017 National Defense Authorization Act. And the Trump approach calls for a renewed focus on “critical skills.”






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MeriTalk compiles a weekly roundup of contracts and other industry activity. Here’s what happened this week in the Federal Information Technology community.






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In the age of machine learning, there’s a fine line between collecting enough employee data for insider threat programs and ensuring personal privacy, a line that Americans may have to culturally define in the near future, according to experts speaking at an Intelligence and National Security Alliance (INSA) event on Monday. “Are we willing to […] […]

As IBM continues a strategic rebound under CEO Ginni Rometty, cloud already accounts for 17 percent of its business. But with cloud still in its early stages of development, IBM is doubling down on a few key aspects of the IBM cloud that make it different and potentially a game-changer for its corporate and government clients.






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Major innovations in blockchain are likely to happen this year with the help of Federal agencies, industry experts say, even though health care applications for the technology have yet to reach mass markets.






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