Available on Demand | March 23, 2026 | 1 Hour | 1 CPE

In January the U.S. Army conducted Dynamic Front 26, a multinational training exercise designed to rehearse NATO regional plans and enhance the integration of multi-domain fires across a distributed battlefield. One conclusion? That soldiers are drowning in so much battlefield data that AI is needed to make sense of it all.

The problem of too much data, coming in too fast from multiple sensors and networked weapons, is one the military and intelligence communities are wrestling with. Defense contractors face a similar challenge – how to incorporate the tools that can help manage the data flow and facilitate decision-making in combat scenarios. The difficulty is heightened by the prospect of edge devices operating, while disconnected or otherwise offline, in a hostile environment.

Featured Speakers:

Chris Ritter, Division Director, Scientific Computing & AI and Director, Digital Innovation Center of Excellence, Idaho National Laboratory

Chris Ritter
Division Director, Scientific Computing & AI
and Director, DICE,
Idaho National Laboratory
Tracy Mills, Distinguished Chief Technologist, U.S. Public Sector Federal Systems Integrators, HPE

Tracy Mills
Distinguished Chief Technologist, U.S. Public
Sector Federal Systems Integrators, HPE
Daniel Folliard, DOD Strategic Advisor, Astris AI

Daniel Folliard
DoD Strategic Advisor,
Astris AI
John Breeden II, Moderator & Contributing Editor, FedInsider

John Breeden II
Contributing Editor,
FedInsider