{"id":19473,"date":"2017-10-11T16:03:16","date_gmt":"2017-10-11T16:03:16","guid":{"rendered":"https:\/\/one.sightlinemg.com\/c4isrnet\/uncategorized\/2017\/10\/11\/artificial-intelligence-accelerates-decision-making-for-field-commanders-company-says\/"},"modified":"2026-08-08T02:15:39","modified_gmt":"2026-08-08T02:15:39","slug":"artificial-intelligence-accelerates-decision-making-for-field-commanders-company-says","status":"publish","type":"post","link":"https:\/\/one.sightlinemg.com\/c4isrnet\/show-reporter\/ausa\/2017\/10\/11\/artificial-intelligence-accelerates-decision-making-for-field-commanders-company-says\/","title":{"rendered":"Artificial intelligence accelerates decision-making for field commanders, company says"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">A process of \u201cplug and play\u201d artificial intelligence that could improve mission effectiveness for a variety of operations was announced Monday by Engility Corporation at the Association of the United States Army\u2018s annual conference. <br><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The program, called Synthetic Analyst, is designed to accelerate decision-making by automating tasks and decreasing a soldier\u2019s reaction time to tactical problems, said Chris Milroy, an applied mathematician for the Engility. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The program uses scalable computing and deep learning to provide users with solutions to a range of missions, regardless of size, Milroy said.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u201cThis allows you to have mission-grade capabilities for any mission,\u201d Milroy said. \u201cThis is in contrast to two other ends of the AI spectrum, which tend to be more commercial grade, very broad but not at mission level or very mission specific to do exactly one thing, such as pilot a UAV.\u201d<br><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The new program is largely based on feedback from a variety of customers \u2014 to include civilians users, the Defense Department and intelligence agencies.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u201cOne of the things that we kind of hear over and over again that is a priority for the DoD is explainability,\u201d Milroy said. \u201cSo, we need to be able to take apart what an AI is thinking and be able to characterize that to the users so that they can build both trust in its outcomes but also can take effective action following [the AI\u2018s] logic.\u201d<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The program\u2019s flexibility was on display at AUSA, where a demo program was preparing close air support options for an anticipated enemy advance on the right flank of a ground unit, Milroy said. The module would receive intelligence data from the field, determine the strength of the enemy, run through air assets available, identify the best ordinance to employ and feed options back to a field commander along with the risks, he said.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The program has applicability beyond field use, however, and has been used to sift through \u201cdocuments that interrelate, but are not obvious,\u201d Milroy said. \u201cIt can relate it by topics, let\u2019s say, rather than keywords,\u201d he added.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">All of this helps speed up the process of decision-making for the end user, he said. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u201cThe average is 400 times faster than the process that is being automated,\u201d Milroy said. \u201cThat is across all of the [projects] of which I\u2019ve been involved.\u201d<br><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Artificial Intelligence is streamlining 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