Airlines and airports are investing in technologies to help predict and prepare for future events. This is according to The Future is Predictable, a report published today by air transport IT provider, SITA. It outlines how efforts are being made to tackle the estimated US$25 billion cost of flight disruptions to the air transport industry by harnessing artificial intelligence, cognitive computing, predictive analytics and other progressive technical capabilities.
SITA’s analysis reveals that predictive tools using artificial intelligence and cognitive computing are likely to be adopted by half of airlines and airports over the coming five to 10 years. However, a few front runners are already trialing predictive modeling, machine learning, and data mining. These efforts are mainly focused on initiatives that will provide passengers with more relevant information about their journey to create more seamless and personal experiences.
Nigel Pickford, Director Market Insight at SITA, said: “There is a desire to remove as much uncertainty as possible during travel. Airlines and airports are focusing on technologies that will make them more responsive to issues in their operations. This will enable them to improve their performance and customer services. At SITA we are funneling investment into specific research around disruption management. Our technology research team, SITA Lab, is currently developing disruption warning and prediction capabilities using industry-specific and public data feeds such as Twitter, to help tackle this huge challenge and reduce this tremendous cost to the industry.”
During 2017, SITA Lab will be validating delay predictions with airlines and airports and expects to complete up to five trials with its industry partners. The next stage will be to incorporate its delay prediction algorithm and disruption warning feeds into SITA’s services to the air transport industry.
In the report, leading airports and airlines share their experiences including Gatwick Airport where a seamless passenger experience from curb to gate is the goal. Here several different areas of airport activity are tracked to measure performance and move towards predicting it.
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