Pentagon officials this week highlighted the potential of emerging technologies like artificial intelligence and machine learning for automating the decision-making process at the tactical edge.
The Defense Department’s digital modernization strategy, released in 2019, pinpointed artificial intelligence and machine learning in its four main goals as essential for enabling information sharing across the enterprise. A year and change after the strategy’s release, several Pentagon officials say they are seeing real applications for edge technologies powered by AI and ML.
“The ability to take something on the very far edge where it needs natural language processing, or some forms of I say situational awareness of intent of beyond what's in front of them and have an ML trying to provide a better decision-making process on the edge of the battlespace to inform, I think those things are needed today,” Alan Hansen, chief of intelligence systems and processing at the U.S. Army’s Intelligence and Information Warfare Directorate, said. Hansen spoke Thursday at a Booz Allen Hamilton event on enabling data at the edge.
Other officials said they see some of these technologies already working in exercises. Speaking at the same Thursday webinar, Col. Charles Destefani, chief data architect at the U.S. Air Force chief data office, said he’s applied natural language processing in military exercises to capture data, text and voice streams and put them into a common field to be analyzed and used to highlight different issues and areas for the battlefield commander to act on.
The Defense Department’s recently released enterprisewide data strategy emphasizes the necessity of Joint All-Doma ..
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