Available on Demand | June 18, 2025 | 90 Minutes | 1.5 CPE

Since the launch of ChatGPT in late 2022, artificial intelligence has rapidly evolved into multiple specialized and mission-focused tools. Generative AI, multimodal AI, and agentic AI are no longer just concepts—they’re transforming how agencies approach everything from data analysis to decision support.

Each branch brings unique capabilities and challenges. Generative AI helps automate content creation, multimodal AI enables richer situational awareness, and agentic AI introduces task automation with minimal human input. As government leaders look to modernize operations, understanding the strengths and risks of these AI solutions is critical.

Featured Speakers:

Natalie Buda Smith, Director of Digital Strategy, Library of Congress

Natalie Buda Smith
Director of Digital Strategy,
Library of Congress
I-Sah Hsieh, Deputy Secretary for AI and Policy, North Carolina Department of Information Technology

I-Sah Hsieh
Deputy Secretary for AI & Policy,
North Carolina Dept. of IT
Albert Gehami, City AI & Privacy Officer, City of San Jose, CA

Albert Gehami
City AI & Privacy Officer,
City of San Jose, CA
Christian Napier, Director of Artificial Intelligence, State of Utah

Christian Napier
Director of Artificial Intelligence,
State of Utah
Ruben Sprenger, Senior Manager, Intelligent Automation, Idaho National Laboratory

Ruben Sprenger
Sr. Manager, Intelligent Automation,
Idaho National Laboratory
Jared Pane, Senior Director, Solutions Architecture, US Public Sector, Elastic

Jared Pane
Sr. Director, Solutions Architecture,
U.S. Public Sector, Elastic
Matthew Macnak, Chief Technical Officer & Senior Vice President, Customer Solutions Engineering, Primer

Matthew Macnak
CTO & SVP, Customer Solutions
Engineering,
Primer
Jared Vichengrad, Head of Public Sector, Federal & SLED, Americas, Check Point

Jared Vichengrad
Head of Public Sector, Federal
& SLED, Americas,
Check Point
Jane Norris, Moderator & Contributing Editor, FedInsider

Jane Norris
Contributing Editor,
FedInsider