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The Combined Joint All-Domain Command and Control (CJADC2) strategy from the U.S. Department of Defense (DoD) “is not a single system, but a series of interconnected capabilities from the edge to the boardroom, providing the Joint commander with sensors and systems across the tactical, operational, and strategic levels to create a clearer picture of the current situation in the fog of war,” according to the DoD’s Chief Digital Artificial Intelligence Office (CDAO). CJADC2 will modernize the DoD’s command-and-control (C2) systems with an integrated network that links sensors and target data from the tactical edge to C2 systems across multiple domains including land, sea, air, space, cyber, and spectrum to enable real- time responsiveness and information dominance.
Powered by Military Embedded Systems, the CJADC2 At The Edge Virtual Summit is designed to drive awareness and thought leadership around CJADC2 concepts and requirements and to study how artificial intelligence (AI), software mobility, secure communications, high-performance computing, cyber operations, data connectivity, and other embedded technology solutions will impact system designs.
Tue, Oct. 27, 2026 · 10:00 am (PDT)
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Leveraging AI/ML in CJADC2 Operations Artificial intelligence (AI) and machine learning (ML) solutions will be essential to enabling CJADC2 operations, as the data being processed across the network will need to be analyzed and disseminated at light speed. Freeing humans from analysis duties will improve tactical decision-making, facilitate information management, and help achieve information dominance. Currently, the tremendous amounts of intelligence, surveillance, and reconnaissance (ISR) data and electronic warfare/signals intelligence data (EW/SIGINT) collected is too much for one human mind to process. In the long run, AI/ML may even act as a CJADC2 network’s brain, enabling the network to adapt quickly to ever-changing and complex adversarial scenarios. This session details how embedded AI/ML solutions enable faster and more accurate intelligence across multiple domains.
Leveraging AI/ML in CJADC2 Operations Artificial intelligence (AI) and machine learning (ML) solutions will be essential to enabling CJADC2 operations, as the data being processed across the network will need to be analyzed and disseminated at light speed. Freeing humans from analysis duties will improve tactical decision-making, facilitate information management, and help achieve information dominance. Currently, the tremendous amounts of intelligence, surveillance, and reconnaissance (ISR) data and electronic warfare/signals intelligence data (EW/SIGINT) collected is too much for one human mind to process. In the long run, AI/ML may even act as a CJADC2 network’s brain, enabling the network to adapt quickly to ever-changing and complex adversarial scenarios. This session details how embedded AI/ML solutions enable faster and more accurate intelligence across multiple domains.
Director Aerospace & Defense Markets, RTI
John Breitenbach is the Director of Aerospace & Defense Markets for Real-Time Innovations. He has over 30 years of experience designing software for intelligent machines. He’s worked on industrial, medical, consumer and military products - everything from artificial hearts to autonomous vehicles to elevators.
Director of Engineering, Sealevel Systems
Jeff Baldwin is Director of Engineering at Sealevel Systems, where he leads the development of rugged embedded computing systems for mission-critical environments. With more than 20 years of engineering experience and over 65 industrial computer designs to his credit, Jeff brings deep expertise in system resiliency, SWaP-C2 optimization, manufacturability, and EMI/EMC, safety, and security requirements.
