From Data to Decision: How AI Enhances Warfighter Readiness

On-going global conflict indicates an unsettling truth about military readiness: the U.S. and allied defense assets are not ready to win the next war. However artificial intelligence (AI) can enhance asset performance and improve reliability. Combatant commands need a proven, scalable approach that addresses ongoing maintenance requirements in real-time, enhancing the work of the maintainer. AI-enabled warfighting systems deliver speed into legacy processes, delivering improved outcomes with less-experienced personnel and arms strategic leaders with critical insights into force readiness. The U.S. Department of Defense (DoD) relies on a vast network of supply, logistics and maintenance functions to meet its operational requirements. Maintaining an inventory of available and ready warfighting systems is critical for deterrence, as well as waging a dynamic, multi-front conflict against a peer adversary. By integrating AI into these systems, the U.S. can improve force posture and readiness at home, augment a less-skilled workforce and accelerate decision-making under decentralized C2 and the ACE concept.


As part of this webinar, you’ll discover how AI can address some of the DoD’s biggest sustainment challenges, including:

  • How to Predict Causal Factors: Deep learning discovers from historical data and patterns
  • Accelerate Mean Time to Resolution: Eliminate time loss by identifying key content, parts and equipment and recommending the best course of action
  • Provide Real-time Trend Analysis: Visualize fleet health data as it happens
  • Streamline Workflows: Simple interfaces, fewer clicks and a reduction in redundant processes
  • Inform Strategic Leaders: Tactical data aggregated for senior decision-makers in near real-time

About the Speakers

Bret Dorman

Bret Dorman is the Technical Lead for Air Force Programs at SparkCognition Government Systems (SGS). Prior to SGS, Dorman served as Argo AI’s Operations Manager for the City of Detroit, leading a team of 30; this team was tasked with supporting new platform build, delivery, development, and test for their autonomous vehicle hardware/software suite. Prior to Argo AI, Dorman spent four years as a staffer for U.S. Senator Carl Levin. He is a former Air Force Maintenance Officer and was fortunate to spend ten years leading and/or training more than 3,000 airmen and cadets. He was charged with supporting operations sustainment for the F-35, F-15E, F-16, and A-10. He separated from active duty in 2021, and from the Michigan Air National Guard in 2022. Dorman holds a Masters in Business Administration from the Eli Broad College of Business at Michigan State University, and a Bachelor's of Science Degree in Political Science from Grand Valley State University.

Logan Jones

Logan Jones is the President and General Manager of SparkCognition Government Systems (SGS). He has over a decade of national security and defense experience in the U.S. and globally, in which he’s worked extensively with the DoD and commercial defense companies. He is the former vice president and founding member of the largest aerospace venture fund and innovation group, Boeing Horizon X. He has been interviewed by Inside Defense, Aviation Week and Janes and has spoken at numerous events, including ICAO and GMFUS Brussels Forum, on how artificial intelligence and machine learning are readying government and defense for the future. He is a proud member of the National Defense Industrial Association (NDIA) Board and the Armed Forces Communications and Electronics Association (AFCEA). Jones has a bachelor’s degree in marketing from Montana State University and a master’s degree in program management from Boston University. He also holds a master’s degree in business administration from Washington University in St. Louis.

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This webinar highlights real-world success stories, reveal learned best practices and detail how AI meets the needs of our service members.

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