JORGE SACO
AI IN AVIATION
The significance of Dias ’ appointment cannot be overstated , as it reflects the airline ’ s increasing focus on harnessing AI ’ s potential .
Already , IAG has opened labs in London and Barcelona to drive AI innovation across its operating airlines , which include British Airways , Aer Lingus , Iberia , and Vueling .
“ AI has the potential to make our businesses perform better , help our employees and is essential to our long -term success ,” Jorge Saco , IAG ’ s Chief Information , Procurement Services and Innovation Officer said following the appointment .
With such initiatives , IAG aims to capture a portion of the estimated US $ 45bn in potential value AI could generate for the airline industry globally , particularly through operational efficiencies , revenue optimisation , and customer service improvements .
AI ’ s ability to transform airlines AI ’ s transformative impact in the airline industry can already be seen in several operational areas , especially in flight operations and safety .
Major airlines and aircraft manufacturers are integrating AI to monitor aircraft health and predict maintenance needs before issues arise .
Boeing , for example , has implemented its Airplane Health Management system , which uses AI to identify and anticipate maintenance needs , thus improving aircraft reliability and reducing unplanned maintenance delays .
JORGE SACO
TITLE : CHIEF INFORMATION , PROCUREMENT SERVICES AND INNOVATION OFFICER
COMPANY : IAG INDUSTRY : AIRLINE LOCATION : UK
Jorge is a successful , focused , and results-oriented digital , finance , and commercial leader with over 26 years ’ experience in data , technology , and transformation in the airline industry .
Similarly , Airbus ’ s Skywise platform leverages AI to optimise flight routes and reduce fuel consumption . By identifying potential delays and technical faults in advance , this platform enables airlines to implement proactive measures , thereby enhancing operational efficiency .
Such applications demonstrate AI ’ s ability to process large volumes of data in real-time and generate actionable insights , essential for the efficient functioning of an industry that operates under tight schedules and high safety standards .
This predictive maintenance approach has become increasingly valuable in minimising aircraft downtime , ensuring flights run on schedule , and ultimately providing passengers with a more reliable travel experience .
196 January 2025