The recent cold snap across the US has put a spotlight on how airlines use technology to handle disruptions. Severe weather can cause flight delays and cancellations that ripple across the globe. During these times, airlines need to respond quickly to customer inquiries and make operational decisions safely and efficiently. Many airlines are turning to artificial intelligence (AI) to help them stay ahead during such challenging conditions and to become more responsive organizations overall.

Airlines Building AI Tools for Better Operations

Last year, Air France-KLM developed a cloud-based AI ‘factory’ that supports various parts of its business. This platform allows the airline to develop, test, and deploy AI models more consistently and reuse them across different teams. It was created in partnership with Accenture and Google Cloud, and it has led to measurable improvements in ground operations, aircraft maintenance, and customer service. The AI factory has helped speed up AI deployment by over 35%, making the airline more agile during disruptions.

Since launching the factory, Air France-KLM has built a private AI assistant and tools that connect large language models with internal search systems. These tools help staff diagnose and fix aircraft issues faster. The company also trains employees on how to use AI tools effectively, empowering them to leverage AI’s power to improve efficiency and safety across operations.

Using AI to Respond to Weather-Related Disruptions

United Airlines is also exploring AI to manage operational challenges during extreme weather. In an interview, CIO Jason Birnbaum explained that AI can help shorten decision-making cycles during sudden disruptions like the recent cold snap. The airline initially used AI to handle passenger inquiries, which became more important during delays and cancellations. Customer service teams need to respond quickly while maintaining the airline’s communication style, especially when many flights are affected.

During extended disruptions, maintaining consistent messaging becomes difficult. Birnbaum said United focused on prioritizing the most impactful situations. They used AI to analyze flight data, weather information, and communication logs between crew and ground staff. This helped generate accurate, timely updates that kept passengers informed without overloading human agents. The goal was to use AI to support staff and improve the overall passenger experience during challenging times.

Overall, these examples show how airlines are proactively adopting AI to better manage unpredictable weather and operational hurdles. As technology advances, more airlines are likely to integrate AI tools into their daily routines, making travel safer and more reliable despite the weather’s worst. This shift not only helps airlines respond faster but also paves the way for a more efficient, data-driven future in aviation.

Inspired by

• https://www.artificialintelligence-news.com/news/cold-snap-highlights-airlines-proactive-use-of-ai-airline-industrys-use-of-ai/

Sources

• aviationbusinessnews.com
• cio.com
• ai-expo.net
• techexevent.com
• techforge.pub