Defence and Security

Global instability and conflict are themes that have leadership in public and private institutions engaged in risk and strategy discussions across the world, with governments and militaries scrambling to adapt and prepare for the future. The need for cutting-edge capabilities, the ability to sustain them and have a technological lead is critical for any deterrence posture.

Current and Quantum sensors have the ability to gather huge amounts of data, through high resolution digital images from cameras, radars, acoustic sensors et cetera. The volume of data now far exceeds the ability to manually process the information and be able to respond fast enough to respond successfully. This will become a greater challenge as Quantum sensors proliferate across capabilities. Machine learning provides a powerful tool to sift through the growing sea of data to assist detection, recognition and identification of threats rapidly and accurately, while able to pass the information for timely decision and response. It can be tailored to support command and control structures, even rules of engagement.

Optimization of combat power is a critical issue, as is cost-effective management of modern, capital intensive fleets and systems. Machine Learning can provide the ways and means to improve the availability of combat power to match the mission profile with the most systems available when you need them, and improve the maintenance costs of modern fleets through pattern detection in available data sets and proactively identify maintenance activities that will preempt major subsystem failures.