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The find, fix, track, target, engage, assess (F2T2EA) process requires ubiquitous access to data at the strategic, operational and tactical levels. Red Hat Device Edge embeds captured, analyzed, and federated data sets in a manner that positions the warfighter to use artificial intelligence and machine learning (AI/ML) to increase the accuracy of airborne targeting and mission-guidance systems.

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