Available on Demand | July 29, 2026 | 1 Hour | 1 CPE

Federal agencies have largely moved beyond asking whether AI works. The challenge now is determining how to deploy the right AI capabilities in the right places to accelerate mission outcomes while navigating the realities of procurement, governance, workforce readiness, and operational complexity.

New research reveals that while agencies are confident in AI’s potential, many still face significant delays moving from pilot to production and struggle to measure success beyond technical implementation. The primary bottleneck is rarely the AI model itself; rather, it is fragmented data infrastructures, misaligned organizational workflows, and a lack of rigorous, enterprise-grade governance. For instance, pilots often use small, immaculately cleaned, and curated datasets. In contrast, live production environments contain messy, fragmented, and siloed data across legacy systems. When models hit this noisy real-world data, accuracy plummets.

Featured Speakers:

Jessica Baweja, Ph.D., Applied Research Psychologist, Pacific Northwest National Laboratory

Jessica Baweja, Ph.D.
Applied Research Psychologist,
Pacific Northwest National Laboratory
Kevin Duvall, Chief Technology Officer, Bureau of Global Health Security & Diplomacy (GHSD), U.S. Department of State

Kevin Duvall
Chief Technology Officer,
GHSD, U.S. Department of State
Kyle Tuberson, Chief Technology Officer, ICF

Kyle Tuberson
Chief Technology Officer,
ICF
Mark Krzysko, Moderator & Contributing Editor, FedInsider

Mark Krzysko
Moderator & Contributing Editor,
FedInsider