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[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”] Receives A Notice Of Intent To Award A Two-Year Contract From The Air Force Research Laboratory, a leading provider of artificial intelligence (“AI”), machine learning, cloud-based big data analytics, and cyber engineering solutions, today announced that the Air Force Research Laboratory (“AFRL”) has issued a Notice of Intent to Award a two-year contract for a Composable Collaborative Planning prototype to This effort, titled Project AURORA, will provide the AFRL with an opportunity to leverage’s three AI-powered platforms – Observe, Orient, and Dominate – to accelerate the Joint Planning decision cycle, advance the use of automated technology platforms, and establish a shared data ecosystem in support of Service and Joint planners and action officers.

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In addition, the advanced work associated with this prototype will establish the foundation to incorporate advanced computing capabilities, which include machine learning, robotic process automation, and natural language processing.

Dr. Reggie Brothers, CEO of, said, “We are excited to collaborate with the Air Force Research Laboratory on this important project and are confident that this prototype effort will demonstrate how our platforms intelligently leverage data to achieve decision dominance, which we believe will be a game changer for the Joint Planning community.” has teamed with industry leaders QLIK, Appian, KNIME and Neo4j to develop a modernized, rapidly deployable, and extensible platform. The companies’ collective success with similar efforts was the catalyst that led AFRL to select the team for this project.

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