AI That Fits The Mission: What Delivers Results in Space-Based Sensing

Artificial intelligence is everywhere in space and defense conversations, yet too often the discussion stops at promises, risks, or model performance. AI creates value only when it aligns with the mission. As space-based remote sensing systems scale and operating environments grow more contested, the question is no longer whether to use AI, but how to design it to work within real constraints—bandwidth, latency, trust, and existing workflows. This discussion focuses on what works: mission-fit AI that supports analysts and operators, brings decision support closer to the sensor, and delivers actionable insights where and when it matters most.

• Why AI creates real value for defense and government users only when it is designed around how missions are executed – timelines, workflows, trust boundaries, and operational constraints
• How mission-fit AI augments analysts and operators through onboard processing, prioritization, and decision-ready outputs rather than generic analytics

• Moderator: Nick Sinai, Senior Advisor, Insight Partners
• Panelists: 
  • Dr. May Casterline, Director, Solution Architecture, NVIDIA
  • Barbara Golf, Executive Agent for Space Domain Awareness, U.S. Space Force 
  • Shayn Hawthorne, Principal Lead for Space, AWS National Security
  • Arpan Sura, Chief AI Officer, Federal Communications Commission

If you are interested in being invited, contact [email protected], and we will forward your request to the sponsor.

By Invitation Only

Speakers

Dr. May Casterline

Barbara Golf

Shayn Hawthorne

Nick Sinai

Arpan Sura

Co-Sponsor