[Verso #47] AI X Aviation

Using AI in Aviation - 汉莎航空

Industry: Aviation

Type of AI or Technology:?

• Machine learning
• Predictive analytics

Strategic Goals: #AccuratePrediction #Maintenance #PassengerExperience #PredictiveAI

3?? POINTS TO REMEMBER

1?? ACCURATE WEATHER PREDICTION: The accuracy of wind prediction is increased with the help of AI, which contributes to optimizing performance and fuel consumption.

2?? PREDICTING & PREVENTING FAILURES: Aircraft sensors data are analyzed with AI algorithms to prevent unexpected breakdowns.

3?? BETTER PASSENGER EXPERIENCE: AI is employed to enhance the precision of estimating boarding schedules, mitigate delays, and minimize check-in waiting times.

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?? WANT TO KNOW MORE? ??Read on

?? THE COMPANIES

?Lufthansa is a renowned German airline company with a global presence, offering passenger and cargo transportation services.

?Google Cloud is a leading cloud computing platform and service provider developed by Google.

?IBM, also known as International Business Machines Corporation, is a multinational technology company.

?? USING AI FOR GOOD

By partnering with tech giants, Lufthansa is harnessing AI to improve its operations. Safety is enhanced by making precise predictions and anticipating component failures, ensuring a safer experience for passengers. AI is optimizing passenger experience outside the aircraft, thus increasing loyalty and enhancing customer journey.

• Wind forecasting: Lufthansa is teaming up with Google Cloud to combat flight delays using AI-driven wind forecasting. They harness Google Cloud's machine learning platform to create predictive models, analyzing data sources like weather forecasts and aircraft telemetry for more accurate wind predictions. This optimizes flight routes, reduces fuel consumption, and enhances on-time performance.

• Predictive maintenance: Lufthansa Technik, the maintenance, repair, and overhaul division of Lufthansa, utilizes AI to perform predictive maintenance. Machine learning algorithms analyze data from aircraft sensors to predict component failures and prevent unexpected breakdowns.

• Enhancing experience beyond aircraft: The Data Science and AI Elite Team at Lufthansa partnered with IBM to prototype different AI-based applications. IBM Watson Machine Learning was used to help predict boarding times more accurately, avoid delays, and reduce wait times for check-in.

Other Applications of AI in Aviation:?

• Delta using AI to upgrade customer experience and system
• United Airlines using Multimodal AI for Customer Service

??FOOD FOR THOUGHT

What other aspects in your travel experience do you think AI can enhance?

Let us know your thoughts in the comments!???

ARE YOU INTERESTED IN A SPECIFIC TOPIC OR PROJECT TO ADDRESS?

Let us know in the comments or send us an?email????

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