A black swan for the aviation industry
A black swan, as defined by Nassim Taleb in his influential The Black Swan: The Impact of the Highly Improbable in 2007, is an outlier outside the realm of regular expectations. No historical data...
David Pérez
David is very interested in leading technology development in the intersection of aviation, data science and information technology. He doesn't stop there though, and encourages progressive development with cutting-edge design and design-thinking applications.
A prediction on the role of AI for an aviation industry in crisis
The coronavirus pandemic is making many industries rethink how they introduce their services to the public. Aviation, in particular, will be impacted for a variety of reasons. As a means of transport, flying...
Machine Learning roadmaps for aviation
During the last few months of 2019, European agencies rushed to publish a variety of roadmaps for artificial intelligence (AI), specifically focussed on the aviation sector. While AI is a fairly transversal...
Harder, better, faster, stronger
New technologies are frequently discussed today in terms of how fast they can deploy and how greatly they can impact different markets. Gartner invented the famous “hype cycle” to explain this very phenomenon. The chart...
Digitalization in aviation: controlling your data before it controls you
Internet 2.0 technologies have consolidated in very large platforms that exploit personal data. This “centralization” paradigm has already produced much controversy. With the surge of AI applications, the world is now aware of...
The weak case for Trusted Third Parties in Data Science
Trusted third parties are sought-after when confidential data needs to be managed. We’ve covered this in the Datascience.aero blog before. A trusted third party is an entity that collects confidential information, normally privacy...
Data Analytics, Data Infrastructures, Data Management, Data Protection, Events, Ideas, Performance, Safety
DataBeacon and SafeRunway presented at the IATA Aviation Data Symposium
IATA has shown their commitment to developing big data and machine learning applications in order to transform the industry to be more data-driven. The Aviation Data Symposium is a forum started last...
AI systems for safety critical tasks
After accomplishing difficult tasks like translation, playing go or amazingly calling a hair saloon for an appointment, the industry of artificial intelligence is ready to take on safety critical tasks. For instance, in...
Data Protection is key as part of the data science process
If the General Data Protection Regulation (GDPR) (EU) 2016/679, the regulation in EU law on data protection and privacy for all individuals within the European Union, had not been enough to stress the importance of protecting personal data properly, we now also...
