The European aerospace giants measure the impact of Artificial Intelligence and Big Data on all business lines. In a debate organized by Paris Air Forum on June 21, 2018, Guillaume Faury, the boss of Airbus Commercial Aircraft and Philippe Petitcolin, Chief Executive Officer of Safran, spoke about the far-reaching transformations to come to design offices, manufacturing, products and services, maintenance…

For Safran, just like Airbus, the main issue in the treatment of their mega amounts of data, via Big Data and Artificial Intelligence, is the speed and quality of the Supply Chain. This concerns the production of the nacelle of the A320neo and the Leap engine (A320neo, Boeing 737). The new Airbus A320 assembly line in Hamburg has benefited from these new technologies. Tools and advice are needed to infuse Big Data and AI culture across the entire value chain of these companies, large groups, subsidiaries and SMEs.

Safran Analytics

Safran Analytics, created in 2015, is the focus for all of the group’s 30 Proof of Concept (POC) Big Data activity projects, fifteen of which apply to the industrialization phase: data analysis throughout the production cycle, quality of the parts, exploitation of the data of the planes in flight and predictive maintenance, optimization of fuel consumption… For example, the data recorded by the ACMS in flight is automatically transmitted by a WEFA connection. Safran Electronics & Defense makes this data available to the company’s stakeholders 24 hours a day, 7 days a week: maintenance manager, flight safety officer, flight operations manager. Twenty million flight hours are analyzed for two hundred customers worldwide. In terms of Human Resources, the recruitment of Data Analysts and especially the retention of the Big Data specialization engineer profile is a major challenge.

The Airbus Datalab

The Airbus Datalab, created in 2016, aims to spread the use of big data to all the group’s businesses and for each stage of the aircraft life cycle. Three data lakes were initially implemented, based on Hadoop and the Python and R languages, the first for the development and testing phase, the second for operation and new services, the third for implementation in systems production. Today, and for a year now, the nerve center of these activities is the Skywise Data Platform. In June 2017, Airbus launched this project to share data within its ecosystem, including airline companies (AirAsia, Asiana Airlines, Etihad Airways). One of its many applications is again predictive maintenance. Skywise connects with other major transformation projects such as Digital Design and Manufacturing (DDM), Plant 4.0 and Robotics. The platform is the single point of access to data and allows each actor to optimize their projects. The #AI revolution is under way. Source: La Tribune Safran & L’Usine Digitale :–skywise-data-platform-gains-momentum.html Learn more about Octopeek Big Data and Data Science advice and support: