Federal Leaders on AI: Mission Results, Risk, and What's Next

Federal AI in Practice: Mission Wins, Risk Management, and What's Next

Artificial intelligence is moving from pilot to production across agencies. The question for leaders: where does it drive measurable mission outcomes today, and how do you manage risk as adoption grows?

Event Details

• Date & Time: Feb 24, 2026, 1:00 p.m. ET
• Format: Webinar - Technology
• Focus: Practical AI applications, risk, governance, and implementation at scale

Why it matters for executives and strategy leaders

AI now touches every mission area: cybersecurity, intelligence, space operations, logistics, and citizen services. The advantage goes to leaders who can translate AI into outcomes, not pilots.

This session zeroes in on what works, how to manage model and data risk, and how to align with federal guidance such as the NIST AI Risk Management Framework and the White House Executive Order on AI.

• NIST AI Risk Management Framework
• Executive Order on Safe, Secure, and Trustworthy AI

What you'll learn

• Where AI is delivering mission outcomes now (cyber defense, GEOINT workflows, space operations, service delivery)
• Risk management playbook: model evaluation, data controls, security, and governance that scales
• From pilot to production: procurement, integration with legacy systems, and performance metrics
• Workforce: upskilling strategies for operators, analysts, engineers, and leaders
• Budget and ROI: prioritization frameworks and quick-win roadmaps

Who you'll hear from

• Donald Coulter, Senior Science Advisor for Cybersecurity, Science and Technology Directorate, Department of Homeland Security (Confirmed, pending final approval)
• Israel Soong, Deputy Director, Office of Artificial Intelligence, Central Intelligence Agency (Confirmed, pending final approval)
• Dr. Omar Hatamleh, Chief Artificial Intelligence Officer, Goddard Space Flight Center, NASA (Invited) or Matt Dosberg, Deputy Artificial Intelligence Officer, Goddard Space Flight Center, NASA (Invited)
• Susan Davenport, Chief Data and Artificial Intelligence Officer, Air Force (Invited)
• Rachael Martin, Director, MAVEN Office, National Geospatial-Intelligence Agency (Invited)
• Chad Cisco, Chief Customer Officer, DataRobot (Invited)
• Nate Riley, Field Sales Manager, Public Sector, BMC Helix (Invited)
• ICF Executive (Invited)

Moderator: Luke McCormack, Host of the Federal Executive Forum

Who should attend

• Agency executives: CIO, CTO, CAIO, CISO, Chief Data/Analytics Officers
• Mission and program leaders driving outcome-based AI initiatives
• Acquisition, policy, and governance leaders shaping enterprise adoption
• Innovation and transformation offices tasked with scaling AI

How to get the most value

• Bring a one-page brief on a mission use case you want to accelerate. Focus on data sources, decision latency, and required outcomes.
• List current constraints: security, model evaluation, workforce skill gaps, and integration barriers.
• Define metrics that matter: time-to-decision, cost per action, false positive/negative rates, and workload saved.

If your team needs structured learning paths by role, explore curated options here: AI courses by job role.

Logistics and registration

Please register using the form on this page. After submitting, you'll receive confirmation details and a calendar hold.

Have questions or need help? Visit our Q&A page for answers to common questions or to reach a member of our team.

Sponsors

This webinar is made possible with support from our sponsors.

What you'll walk away with

• A clear lens on where AI creates advantage in federal missions
• A practical risk and governance checklist aligned to federal guidance
• Next steps to move from proof-of-concept to production with measurable outcomes

Reserve your spot, bring your priority use case, and leave with a plan you can put to work.