Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK

Machine learning in aviation is finally taking off

Samuel Cristóbal (Innaxis)
14:3015:00 Tuesday, 30 April 2019
Case studies
Location: Capital Suite 12
Average rating: ***..
(3.40, 5 ratings)

DataBeacon is a multisided data platform (MSP) for aviation data. It matches among aviation stakeholders, research institutions, and industry interest and facilitates the exchange of information, thereby enabling value creation for all participants. Different data owners and consumers of analytic services interact through DataBeacon and, using secure common exploitation of data, improve their performance among various aspects of their business.

Private environments hold the data but are not accessible by applications or analysts directly. Instead, data is consumed by the Secure Data Fusion (SDF) technology. One of the major advantages of the SDF technology is being able to merge private data from different sources using secure cryptographic techniques. This enriches each isolated dataset by combining multiple sources of data while also respecting the privacy of the data owners.

DataBeacon’s complete analytics environment consists of a highly available on-demand cloud computing architecture for analysis and applications. After secure login, a complete data science development environment is launched, which includes popular data science toolsets. Secure access to notebooks allows the analysts to work remotely with the protected data—no data leaves the cloud.

Samuel Cristóbal offers an overview of two of DataBeacon’s applications: SmartRunway (a machine learning solution to runway optimization) and SafeOperations (operations safety predictive analytics).

Photo of Samuel Cristóbal

Samuel Cristóbal


Samuel Cristobal is the science and technology director at Innaxis, where he manages the research agenda of the institute. Samuel has been a researcher at Innaxis for 10 years, over which he successfully executed more than a dozen data science projects in the field of aviation, ranging from mobility to safety, mostly as the technical or scientific coordinator. Previously, he was a research associate fellow at the University of Vienna, working on mathematical research with focus on algebraic geometry, logic, and computer science. Samuel holds an MSc in advanced mathematics and applications from Universidad Autónoma of Madrid, a BCs (with honors) in mathematics from Universidad Complutense de Madrid, and a BEng (valedictorian) in telecommunication systems from Universidad Politécnica de Madrid.