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5 ways AI/ML can transform the distressed aerospace industry

5 ways AI/ML can transform the distressed aerospace industry

Technologies like AI/ML will be an integral part of aerospace industry’s rebound strategies. Here’s why.

Covid-19 pandemic has brought the aerospace industry to its knees. The sector, which was at the peak of its growth, is now facing one of the biggest crises in the history. Players are taking unprecedented measures to weather the Covid-19 storm and bounce back. But its recovery is expected to take many years.

As firms navigate this crisis, technologies like AI/ML will be an integral part of aerospace industry’s rebound strategies.

AI has the potential to revolutionize a whole lot of functions within this industry which could include optimizing costs across the board, shortening design cycle times, improving manufacturing processes and increasing supply chain efficiencies. At the same time, aerospace companies can also improve simulation, prtotyping and maintenance. Here are some key areas in the aerospace sector that can vastly benefit by AI and ML.

Product Design and Development
It’s a major challenge in the aerospace industry to create components that are lightweight and yet sturdy. In order to make it possible, manufacturers can adopt a generative design where AI algorithm helps them factor in required materials, constraints and design products to the specifications and within budgets. The combination of AI with generative design will help designers to evaluate various options and innovate to deliver lightweight components more economically. This will also help aerospace companies streamline their manufacturing processes.

Predictive Maintenance
Aircrafts need to be maintained from time to time to ensure they are in good running condition and meet safe standards.  There are numerous maintenance issues that pop up from time to time and aviation companies are trying to solve these by using predictive maintenance. Predictive maintenance involves identifying problems in advance and preventing likely failure. Going forward, aviation companies will be using AI for predictive maintenance. Given AI’s ability to handle vast amounts of data, it will make the entire process of maintenance smoother and more efficient.

Supply Chain Management
Powering the suppy chain management with AI solutions will help aerospace manufacturers to finetune their supply chains, foresee and fix potential issues proactively and optimize costs. AI will automate many functions in the supply chain which today require human intervention.

Providing superior customer experience
Here the aviation industry will employ AI, ML, NLP and analytics among others. Many airlines have already employed self learning chat bots to interface with customers. Chatbots powered by NLP will be the next phenomenon. The use of predictive and prescriptive analytics will provide them with better insights into customers so that they can tailor their services accordingly.

Autonomous Flight Systems
Autonomous flight systems will be the future of the aerospace. Here the autonomous aircraft makers will use a range of technologies and intelligent algorithms that integrate sensors and other equipment to enable robot pilots to fly aircrafts with high precision.  A combination of AI, ML, analytics and NLP will power autonomous aircrafts.

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