Data readiness is the foundation for AI-enabled JADC2

Federal News Network | Jonathan Veal

Joint All-Domain Command and Control requires robust data readiness across distributed sensors, ships, satellites, and edge nodes to successfully integrate artificial intelligence into defense operations. Modern military missions generate vast datasets across disparate domains, but legacy stovepipes and restrictive classification rules hinder real-time information exchange. An April 2025 Government Accountability Office report highlighted operational friction caused by manual data transfers between incompatible systems.

During complex operations like a Pacific tsunami response, disparate coalition architectures slow decision-making across vast oceanic distances. Open frameworks such as the Modular Open Systems Approach and Sensor Open Systems Architecture provide structural connectivity, yet data schemas remain unstandardised. Command friction persists. Multi-national exercises like Bold Quest 22, involving over 1,000 participants from 19 nations, demonstrated that technical connectivity fails without clear metadata provenance and dynamic attribute-based access controls. Defense agencies must prioritise unified data governance to ensure artificial intelligence systems deliver trustworthy, actionable intelligence at machine speed across contested theatres.

Comment

The structural barrier facing Joint All-Domain Command and Control stems from software architectural latency rather than raw network bandwidth across distributed maritime theatres. While hardware standards like the Sensor Open Systems Architecture establish physical interface compatibility, they fail to resolve semantic data misalignment across multi-service sensors. Tactical feeds from carrier strike groups and land-based radar stations routinely arrive with conflicting schema tags, forcing downstream decision nodes to manually reconcile track data. Consequently, machine-speed sensor-to-shooter pairing breaks down before targeting vectors reach combat units in maritime chokepoints.

This operational delay degrades the responsiveness of distributed fire-control networks across wide ocean expanses. When AI battle management algorithms receive fragmented metadata across secure enclaves, targeting pipelines default to human-mediated verification loops. Consequently, the operational tempo of carrier strike group air defense degrades to the manual processing limits identified during the Bold Quest 22 exercise.

Strategic Question for Discussion

Which factor imposes a greater operational constraint on Sensor Open Systems Architecture integration across joint maritime operations — semantic metadata incompatibility between service-specific radars, or security classification boundaries established under coalition sharing agreements?

The available evidence points toward semantic metadata incompatibility as the more immediate operational bottleneck for Sensor Open Systems Architecture adoption. While classification rules delay access at coalition boundaries, incompatible data schemas directly disrupt automated track correlation between naval and air force sensor suites within existing domestic networks. Until multi-service data formats achieve full semantic alignment, automated sensor-to-shooter networks will remain constrained regardless of policy adjustments.

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