Insights into the technologies driving our nation forward.
Welcome to GDIT Perspectives Highlights. Here you will find a selection of our latest insights from people supporting some of the most complex government, defense, and intelligence projects across the country - delivering the art of the possible.
Explore more insights from GDIT at www.gdit.com/perspectives.
4 Mission Analytics Imperatives Driving Decision Superiority
Dive into the essential components that empower warfighters to make informed decisions in real-time. Learn about the four mission analytics imperatives that ensure adaptability, speed, and accuracy in complex operational environments.
Advancing MPEs: AI and Cloud at the Tactical Edge
Explore how innovative technologies are transforming Mission Partner Environments (MPEs). Hear from GDIT experts on enhancing warfighter decision-making, cloud capabilities, and AI-driven solutions in this panel recap.
Responding to Cyber Attacks on U.S. Critical Infrastructure
Hear how the Virginia National Guard, GDIT, and AWS proved mission readiness in Cyber Fortress 2025, a defense exercise that tested operations under power and communications outages.
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The focus on decision superiority and mission partner environments is right—coalition ops live or die on information sharing that actually works across national boundaries and classification levels. What I'd push on: "AI-driven solutions at the tactical edge" sounds compelling, but the hard part isn't the AI. It's the trust layer. Will operators act on outputs they didn't generate themselves, under time pressure, when the recommendation contradicts their instincts? From my experience, the gap between "capability demonstrated in an exercise" and "trusted enough to change behavior in contact" is where most of these initiatives stall. Cyber Fortress is a good stress test, but the real question is what happens when the system gives a confidently wrong answer at the worst possible moment. That's not a technology problem—it's a governance and training problem. Curious whether the MPE work is addressing decision rights when AI recommendations cross national partner boundaries. That's where the friction gets real.