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Intelligent Automation: The implementation of AI in the Aerospace & Defence Industry

Updated: Sep 19, 2023

Artificial intelligence technologies are increasingly being used by the aerospace and defence industry, as well as other industries, to automate manual processes and improve decision-making.

Artificial intelligence is a field of computer science that uses computers to do things normally done by humans. AI helps to reduce errors, increase productivity and make complex decisions faster than ever before. It can be used in any industry, but it’s particularly useful in aviation and defence because it can help make decisions that are too complex for humans to make alone.

A growing number of companies are incorporating AI into their business operations which has been validated by a recent study that 27% of worldwide executives expect their companies to use AI for at least one core process within the next three years.

AI has been used in aerospace and defence for many years, but recent advances have led to major breakthroughs in the technology.

Here are some examples of how AI is being used today:

Computer vision systems use AI to analyse images and video footage in real-time – this allows drones to recognise objects on the ground or other aircraft in the air.

Natural language processing allows computers to understand human speech, as well as people, do – this allows pilots to communicate with their aircraft over voice commands instead of using keyboards or buttons on their control panels.

Automated decision-making systems use AI algorithms to make decisions based on information from sensors throughout an aircraft – these systems could be used to automatically identify problems or take action if necessary (for example, if there was a fire).

AI has enabled the development of autonomous vehicles such as unmanned aerial vehicles (UAVs), which are used in military operations and commercial applications. UAVs are piloted remotely by human operators, but they also have features such as automatic take-off and landing systems that rely on AI algorithms to help them navigate safely through airspace without colliding with other aircraft or obstacles on the ground.

Improved production processes. AI can be used to optimise production processes by analysing past performance data, analysing current data and predicting future trends. This allows businesses to make informed decisions about staffing levels, equipment purchases, supply chain management and more.

Example of AI implementation


  • Roll-Royce uses AI algorithms that mimic human intelligence to assess the safety of its engines.

  • This allows engineers to receive real-time feedback about any issues that may arise during flight tests so that they can take appropriate action before a problem occurs during commercial operations.

Airbus Group SE

  • Airbus uses AI for its predictive maintenance software called Skywise Analytics.

  • This system uses machine learning algorithms to analyse data from sensors on aircraft and then generates alerts when something needs fixing sooner than expected – allowing mechanics to schedule maintenance work more efficiently and avoid costly delays when an unexpected fault occurs during flight

The Aerospace and Defence (A&D) industry are one of the most challenging manufacturing sectors to operate in. It has a high degree of complexity, with a large number of products, and it also faces a number of rising costs.

However, it is also one of the most exciting industries to be involved in because A&D has been at the forefront of technological innovation for decades. From small businesses to big corporations, A&D companies have had to adapt and evolve rapidly in order to stay competitive.


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