EMERGING TECHNOLOGY AND MODERNIZING THE ARMY
At a time when the Army and ATEC needed an efficient OODA loop, legacy systems failed the evaluators doing everything they could to get capability to the field.
available, ATEC’s chief data officers initiated several data pilots, including development on the bias and jitter problem. Redstone Test Center created an application in the ATEC Data Mesh that would automatically ingest raw video files, locate the laser on the target board and calculate its position error. In the past, each two- hour sortie required an average of 10 hours to curate files, trim video and extract information—a process that analysts could not start until the data arrived. Over the course of the JUONS effort, ATEC completed dozens of sorties. Today, after three weeks of effort by Redstone Test Center’s data scientists, a user can load an entire sortie’s video data directly to the ATEC Data Mesh from the field site via our data upload utility HERMES. Te application will automatically identify files, conduct bias and jitter processing, and produce results in minutes. Importantly, that data can be shared with all ATEC’s partners instantly from anywhere as soon as the automated processing is complete. Te ATEC Data Mesh can decrease the turn time of the bias and jitter testing from months to hours. Relevant, timely information to senior Army leaders is a core part of achieving ATEC’s mission. Te ATEC Data Mesh has redefined these terms, enabling us to provide more relevant data at speeds that were never possible.
Tis is not the end for the ATEC Data Mesh: ATEC’s data is a weapon and a force multiplier. In the case of the JUONS, just one additional month to view the JUONS test data and to ask ques- tions would have meant so much to the confidence of a Soldier being sent into harm’s way, entrusting their lives in a system with which they have never flown. Extending this problem set to weapons and munitions, master gunners and technical experts in formations would make use of trustworthy and accessible data to expand the lethality of their fighting formations.
CONCLUSION Te future of warfare relies more heavily on data than ever before. Artificial intelligence, machine learning, and more, all require enormous amounts of high-quality data—the kind of data that the ATEC community produces today. In the past, Gebhart would not have had access to this data, but with the ATEC
https://asc.ar my.mil 57
Data Mesh, he can. In turn, ATEC can make this data descrip- tive, predictive and prescriptive, telling Soldiers not just what happened in a test, but describing what might happen in other environments, and how to gain an advantage by using the systems to their maximum extent. By reducing its OODA loop, ATEC can enable Soldiers in the field to reduce theirs.
For more information, contact Maj. Lucas Gebhart at
lucas.c.gebhart.mil@
army.mil.
MAJ. LUCAS GEBHART is the ATEC deputy chief data and analytics officer. He holds an MBA from Harvard Business School and a B.S. in operations research from the U.S. Military Academy at West Point. During his career, Gebhart has deployed four times to Iraq and Afghanistan, most recently as a troop commander of the AH-64E Apache troop supporting the Iraqi army in regaining control of
the city of Mosul in 2016-2017.
BLAINE PERRY is the chief data and analytics officer at the U.S. Army Redstone Test Center. He holds an M.S. in business intelligence and data analytics from Carnegie Mellon University and a B.S. in aerospace engineering from the University of Alabama. In 2020, he was selected as a member of the inaugural cohort of the U.S. Army Artificial Intelligence Scholars program, where he spent two years with the U.S. Army Artificial Intelligence Integration Center in Pittsburgh learning how best to leverage artificial intelligence and machine learning within the U.S. Army.
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