Lecture: May 28, 2024

www.stanford.edu/class/ee392b


AI for Defense and Aerospace

Thomas Higginbotham, Senior Director, C3.ai

Bio

As Senior Director of Defense at C3 AI, Thomas leads a portfolio of AI programs across the US Air Force, US Army, and US Space Force related to intelligence analysis, conditions-based maintenance, and predictive logistics use cases. Thomas has 12 years of service in the US Air Force as an instructor in the F-15E with 1100 flight hours and a chief of data analytics. Thomas is a subject matter expertise lays in electronic warfare, GNSS-denial and degradation, and tactical datalink systems. Thomas holds master’s degrees from the Stanford Graduate School of Business and Villanova University with several published papers and case studies on practical applications for human-centered artificial intelligence. Thomas worked at Alphabet’s X, the Moonshot Factory before joining C3 AI in 2020.

Abstract

C3 AI provides enterprise AI software for digital transformation across many industries and varied use cases. One example of enterprise scale digital transformation comes from the US Air Force Rapid Sustainment Office, an organization charged with modernizing maintenance and sustainment operations for more than twenty aircraft types and more than 5,000 total aircraft.

The US Air Force seeks to modernize outdated maintenance practices that lack enterprise-level ownership, technology scalability, and sharable data rights, which all hamper aircraft availability and mission readiness. C3 AI partners with the Rapid Sustainment Office to configure AI-based predictive and conditions-based maintenance solutions to provide a precise ML-informed view of system health, decrease delay due to part availability and unscheduled maintenance, and increase overall operational readiness and efficiency.

Lecture Notes

Presentation slides by Thomas Higginbotham (pdf)