Sharing data for AI in aviation
FLY AI Data Sharing for AIAirbus
EUROCONTROL Data for AIEUROCONTROL
Airline best practices for data sharing & analyticsIATA
A European Strategy for DataEuropean Commission
“Data is the new oil”, “the more data the better” - these are just some of the slogans associated with the rise of artificial intelligence (AI). Indeed a lot of the recent AI breakthroughs are based on machine learning and deep learning which rely on big amount of data for analytics at scale and to train an algorithm to do a specific tasks like classifying an object in an image.
This webinar will highlight how data sharing is enabling the development of new data analytics and AI capabilities for aviation, and present some of the challenges we are facing in terms of regulation, data collection, data governance, data quality as well as building trust between competitive actors.
Key takeaways from the webinar
- AI is already creating value for aviation – many examples of existing and future AI applications;
- Access to data is key if we want to unleash AI’s full potential for aviation;
- Quality, security and governance of data are a must when sharing data, as well as building trust among competitive actors.