Home »
Government and Defense »
Battle Management
Battle Management
Integrating Multi–INT Data
Advanced threats in complex conflicts necessitate reliable data synthesis and resilient domain awareness solutions—battle management—for rapid collaboration across both existing and advanced systems. As proliferating sensors and booming data quantities continue to strain operational cognitive loads and bandwidth, command timelines and uncertainty in distributed and contested multi-domain operations are adversely impacted.
MAINSTREAMING ASYMMETRIC WEAPONS
10K
Ukrainian drone pilots have been trained so far to operate an “army of drones” against Russia’s invading forces.
INVESTING IN AUTONOMOUS VEHICLES
$750 Mn
Expected spend by the U.S. Army to develop light robotic combat vehicle.
NETWORK OVERLOAD
19 TB/hr
Assets and personnel involved in daily mission sustainment activities.
The war in Ukraine is a case study of how rapidly the character of war can evolve, with attack and surveillance drones of various sophistication having come to dominate the battlespace.
It is incumbent on the Department of Defense (DoD) to implement capabilities at the network edge that allow our armed forces to operate resiliently in remote environments against a wide range of manned and unmanned threats.
How AI Enhances Battle Management
Decision Dominance
Reduce cognitive load and enhance domain awareness by making sense of disparate data forms and classifications.
- Enhanced domain awareness across echelons in shortened timescales.
- Consolidated risk monitoring.
- Active alerts for suspicious activity.
Multi-INT Analysis
Leveraging AI in battle management networks provides opportunities to enhance existing systems.
- Textual data sources in multiple languages.
- Multi-physics sensor networks.
- Multi-domain manned and unmanned platforms.
Compounding AI Effects
Leverage all data forms to achieve meaningful anomaly detection using compounding effects of full-spectrum AI solutions.
- Distributed anomaly detection.
- Cumulative impact of orchestrated AI classes across varied data sets.
Solving the Problem
Avathon’s multi-domain awareness technology leverages all data forms to provide meaningful anomaly detection using compounding effects of full-spectrum AI solutions to deliver real-time insights and course of action recommendations to the appropriate command echelons in the cloud or at the edge.