In this episode of Intel at the Edge, host Chip Usher sits down with Shelby Pierson, former Director for Analysis at the National Geospatial-Intelligence Agency (NGA).
Shelby joined the intelligence community in 1999 as an imagery analyst and rose through the ranks — working Iraq ground forces analysis, denial and deception, election security as the DNI's lead, and ultimately serving as NGA's Director of Analysis.
Shelby recently authored "Sensing the Threat: Operationalizing Computer Vision for Intelligence and Warfighting," and in this conversation she unpacks how AI and computer vision are reshaping the discipline — from the days of physical light tables and film to today's data deluge of commercial, national, and airborne collection.
Topics covered include:
- Her path into the CIA and career highlights, including Operation Iraqi Freedom
- How the analyst's job has evolved from imagery exploitation to "data creation"
- The origins of computer vision in GEOINT, from change detection to Project Maven
- Why analyst staffing hasn't kept pace with the data explosion
- Where human judgment and tradecraft still matter most
- How today's crises move faster than the 13-day Cuban Missile Crisis timeline — and what that means for AI-assisted decision-making
- Pushing AI compute to the edge — including onboard satellites in orbit
- Her advice for the next generation of imagery analysts
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00:00 - Introduction: Shelby Pierson & "Sensing the Threat"
01:05 - Shelby's Path into the Intelligence Community
02:29 - Early Career: Iraq, Denial & Deception, and Working with Engineers
05:03 - From NIM for Russia to Director of Analysis at NGA
05:30 - The Light Table Era vs. Today's Desktop Analysis
07:40 - The Data Deluge: Scale of Modern Imagery Collection
08:37 - Integration: How Analyst Workload Has Changed
09:26 - Staffing Hasn't Kept Pace with the Workload
10:35 - Technology as Offset vs. Replacement for Human Analysts
11:35 - What Is Computer Vision? Origins in NGA
14:20 - Change Detection: The Early Analytics Story
15:34 - Project Maven and Full Motion Video
17:19 - Beyond Visual: Hyperspectral, Radar & Data-Rich Sensors
20:21 - From Imagery Exploitation to Data Creation
20:50 - Why Now? The Convergence of Software, Storage & Compute
22:32 - Tradecraft, Authorship & Trusting the Models
24:51 - Oversight Standards: Are AI Outputs Held to the Same Bar?
25:47 - Error Tolerance: Change Detection vs. Targeting
26:38 - AI in the Kill Chain: The Israel Example
27:57 - Golden Dome and Split-Second Defensive Decisions
29:30 - Case Study: The Chinese Embassy & Iranian Girls' School Incidents
32:36 - Cuban Missile Crisis vs. Today's Compressed Decision Timelines
34:22 - Piecing Together Complex Intelligence Networks
35:17 - Offense vs. Defense: Rules of Engagement for AI
36:15 - Scaling for a Potential China Contingency
37:10 - AI at the Edge: Onboard Compute and Sensors in Orbit
40:07 - Advice for Aspiring Imagery Analysts
42:15 - Closing & Where to Find the Paper
Intel at the Edge Podcast is a product of the Special Competitive Studies Project.
