A deep understanding of the air transport system remains hidden within its data. However, data scientists and domain experts are working together and reaching an unprecedented understanding of system behaviour. A challenging and promising path has opened and new technologies and data intensive applications are being formulated.
Air transport experts can enable this paradigm shift with a set of techniques at their disposal, including data management, data protection, deep analytics, data visualization, as well as supporting data architectures. Applying these techniques to aviation data can potentially provide new insights on paramount aspects like environmental impact, safety or performance efficiency.
We offer an inside look into the knowledge and ideas surrounding these techniques. The scenarios and use cases aim to inspire others and to stimulate joint initiatives to make a larger impact in aviation data knowledge discovery.
Antonio FernandezNov 26, 2020Data scientists and machine learning engineers working on different industries agree on the importance of ensuring data quality, and invest a lot of time in tuning which training dataset best defines the problem they are...
David PérezDec 3, 2020From the perspective of technology companies, one of the greatest challenges to developing cutting edge technology is ensuring that the innovation budget receives significant recognition among users, regulators and other stakeholders. Receiving recognition sometimes means...
Pablo Hernandez
Damir Valput
