Tactical AI - Mastering AI/ML Ops at the Tactical Edge for Multi-Domain Operations

In the modern battlespace, the speed of relevance is determined by the speed of data. While centralised command-and-control remains vital, the frontline requires autonomous, real-time intelligence that functions even when the "reach-back" to the cloud is severed. This is the challenge of Tactical AI/ML Ops: deploying, managing, and updating sophisticated machine learning models across a distributed fleet of sensors, UAVs, and ruggedised edge hardware in Denied, Degraded, Intermittent, or Limited (DDIL) environments.

This webinar explores the operational framework for scaling intelligence to the tactical edge across the EMEA theater of operations. We will move beyond the lab to discuss the "ruggedisation" of the edge lifecycle, addressing how to push model updates over low-bandwidth tactical radios, maintain model integrity against adversarial interference, and ensure data sovereignty in coalition environments. Join us as we outline a roadmap for transitioning AI from a centralised strategic asset to a decentralised tactical advantage that empowers the operator at the point of contact.