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Turning data overload into information superiority in Intelligence, Surveillance and Reconnaissance (ISR)

鈥淩emember how much simpler it all was twenty years ago?鈥濃ut there really wasn鈥檛 time for the two experienced radar operators to reminisce. This was the brave new digital world, where the ship鈥檚 systems, and myriad other sources, were serving up a constant stream of potentially critical information. Thankfully, the team was equipped with Thales鈥檚 Cognitive Shadow AI app, which was now a trusted virtual assistant ? It continually learned from their behaviour鈥攁nd came into its own under pressure. Only that morning, with information swirling about an approaching swarm attack, the app had made the operators鈥 screens momentarily flash red. The virtual assistant had spotted鈥攃orrectly as it turned out鈥攁 small lapse of operator judgement (probably due to fatigue), where one in a group of rapidly approaching ships had been incorrectly classified as hostile. The error was instantly corrected, and tactics coordinated with this friend鈥攏ot foe鈥攖o rapidly repulse the hostile swarm boats.   

A tale that shows what today鈥檚 armed forces face: ever-broader threats (from drugs, to peace keeping, to environmental disasters) and ever-greater collaboration (internally or in coalition)鈥攁ll coupled with advancing sensors and connectivity. The result? A deluge of data that stretches personnel to the limit.

But forces know it鈥檚 information superiority, not data volumes, that holds the key to success鈥攁nd they鈥檙e driving radical changes to ways of working. Historically, operators needed sharp eyes to spot crucial information from the limited, but well qualified, data generated by their bespoke platforms. Today, it鈥檚 sharp minds that are de rigueur鈥攖o sift information and take decisions swiftly.

Responding robustly to this, Thales is constantly innovating to better focus on user needs.

This is personified in the recently launched Digit@ISR concept. It matches powerful algorithms to ISR use cases where AI can make a real difference. Identified applications range from classifying  to automatically recognising targets. The algorithms can be sensor, mission-system, and even cloud-based. But Digit@ISR is no black-box assistant: its algorithms learn, logically, from experienced personnel鈥檚 behaviour and the decision trees they generate鈥攚hile always remaining capable of explaining the results. In fact, the concept offers a perfect blend of human-machine teaming: Digit@ISR acts as a powerful virtual assistant鈥攁 virtual colleague even鈥攑roviding expert help and recommendations, while ensuring that responsibility and decision power rest firmly in human hands.

It鈥檚 a transformative combination: with users centre stage and a focus on trustable and explainable AI, there is huge potential to free ISR personnel to focus on high-value-added tasks and decision-making鈥攚ithout spending vast amounts of time on searching鈥 In a few years, those same operators might have a bit more time to reminisce about the dull and repetitive tasks of yesteryear鈥攖asks that AI now does for them, faster and more accurately, 24/7, 365 days a year.