Page 78 - ITU Journal - ICT Discoveries - Volume 1, No. 2, December 2018 - Second special issue on Data for Good

ITU JOURNAL: ICT Discoveries, Vol. 1(2), December 2018

In order to manage big data for the benefit of
aviation in terms of improving safety, efficiency and
effectivity of the air transport system, ICAO strongly
recommends implementing data-driven decision
making, with the following actions: (1) taking into
account the ICAO catalogue of safety and air
navigation indicators, within their safety and air
navigation activities and to build data analysis
capacity; (2) using the ICAO’s air navigation
analysis solutions, especially during the initial
development of their State safety programmes; and
Fig. 10 – Manpower Planning application (3) joining the ICAO SIMS project to exchange safety
and air navigation information, and thus, better
By combining the analysis generated by a selection
of tools available on the iSTARS platform, utilize their stored data.
iMPLEMENT helps experts produce a high-level ICAO will keep further promoting its analysis
report showing State information which is aimed at solutions through the “Aviation Data-driven
identifying risks and opportunities, determining Decision Making (AD3M)” training course and
best-fit solutions, prioritizing activities and workshops, as well as developing predictive
ultimately facilitating the enhancement of a State’s analysis by actively exploring the potential
implementation rate. This processed and logically application of artificial intelligence technology.
sequenced information provides senior Thus, ICAO endorses the active participation and
management with projects and solutions to fully discussion of how the aviation industry shall
realize the socioeconomic benefits of aviation at the incorporate data management and artificial
State level.
intelligence technologies in a human-centric and
globally harmonized manner.
4. CONCLUSION
REFERENCES
There was some considerable ambiguity in the
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