AI Capabilities

Figure 3
Long descriptions

The AI Strategy identifies capabilities that can be achieved through AI to better support operations and to solve key business problems.

Computer vision

  • Document digitization
  • Image classification and analysis
  • Object tracking

Robotics and autonomous systems

  • Remotely piloted system ISR capabilities
  • Path planning for bomb disposal robots
  • Cybersecurity threat detection and response

Planning, scheduling and optimisation

  • Virtual assistants
  • Supply chain optimization

Control systems

  • Predictive control systems
  • Industrial process optimization

Speech processing

  • Voice and speech recognition
  • Automated translation from speech
  • Voice-controlled assistants

Knowledge representation and reasoning

  • Semantic processing
  • Computer-aided diagnosis


  • Facial recognition
  • Gait analysis for injury prevention or diagnosis
  • Intrusion detection

Predictive analytics

  • Troop and fleet movement prediction
  • Predictive vehicle maintenance
  • Prescriptive analytics to recommend courses of action based on past and current performance

Distributed AI

  • Parallel processing for large data sets
  • Edge applications 

Natural language processing

  • Chatbots
  • Sentiment analysis
  • Information extraction (search engines)

Training and simulation

  • Virtual wargaming
  • Digital twins
  • Virtual reality (VR) training

Many AI applications use more than one technique. For example:

Speech processing + Natural language processing + Knowledge representation and reasoning = Voice-controlled virtual assistant

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