![]() ![]() Raymond Durban, 363rd Intelligence, Surveillance and Reconnaissance Wing, Hurlburt Field Mercury West – Emulate Signal/Target Training Network (ES/TTN), submitted by Mr. This platform will alleviate the need to spend 90% of time collecting/formatting airspace requests and allow schedulers to focus on areas of conflict that the platform has identified. Years of data for this platform exist to digest and identify trends while optimizing airspace allocations beyond the capability of a human scheduler. The process requires hours of manual formatting, compiling and distribution of the airspace, and reduces training and test effectivenessĪOA is an artificial intelligence web-based application that compiles airspace requests into a central database that automatically allocates airspace based on user priorities and needs. Michael Shaw the 57th Wing, Nellis Air Force BaseĪOA addresses an antiquated process that required manual accounting and deconflicting to schedule limited airspace for world class training events resulting in less-than-optimal airspace allocation. Two additional teams will move ahead to the challenge as wildcard entries.Īirspace Optimization Application (AOA), submitted by Maj. The ACC finalists’ ideas will be submitted to DAF Spark Tank, where they will compete against winners from other major commands. The ACC winners were selected after presenting their innovative ideas along with other top submissions from around the command. Spark Tank cultivates a culture of forward-thinking and innovation to help the Air Force streamline processes by empowering Airmen to find innovative solutions to fix the processes within their unit and the command. JOINT BASE LANGLEY-EUSTIS, Va. - Air Combat Command leadership announced winners of the ACC Spark Tank 2023 competition today. ![]()
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