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AI/ML Solution Eyed for Air Force Cloud-Based Command and Control System

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AI/ML Solution Eyed for Air Force Cloud-Based Command and Control System

The Department of the Air Force has issued a sources-sought notice for an artificial intelligence and machine learning platform capable of improving the reaction times of the service branch’s Air Force Battle Management, Command and Control, which operates under the service’s Advanced Battle Management System. 

According to a request for information posted on SAM .gov, the department is seeking an AI/ML toolkit developed within multiple programs for its cloud-based command and control system, DefenseScoop reported Monday.

The RFI, which has an April 26 deadline, underscores AI and ML as potential solutions for various problems.

The Air Force CBC2, also a key element of the Department of Defense’s Joint All-Domain Command and Control, seeks to link under a single network the sensors and shooters of the U.S. military and its allies for more rapid and effective decision-making and forces deployment.

The North American Aerospace Defense Command’s Eastern and air defense sector attained the initial Air Force CBC2 operating capability in October 2023. The Air Force plans to continue delivering the capability to other air defense sectors throughout 2024.

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Category: Digital Modernization

Tags: AI toolkit artificial intelligence cloud-based command and control digital modernization machine learning sources sought notice US Air Force US Defense