ANA Confirmed as Launch Customer for Boeing's
Insight Accelerator
(21/09/22)
All Nippon Airways (ANA) has been confirmed as
the launch customer for Boeing's Insight Accelerator (IA), a new
cloud-based digital solution employing artificial intelligence to
improve operational efficiency and avoid high impact service
disruptions.
While the latest generation of commercial
airplanes like the 787 generate a large amount of flight data,
many operators lack the infrastructure to manage and leverage the
information. By using augmented analytics to discover and deploy
predictive algorithms for anomaly detection, our Insight
Accelerator solution enables airlines to take proactive
maintenance and repair action and prevent unscheduled delays.
“There are many products on the market for flight
data analytics but Insight Accelerator is the most effective tool
for our aircraft operation,” said Manubu Tono, All Nippon
Airways manager of Planning & Administration, Engineering. “It’s
very innovative, and meets our primary goal of leveraging features
in flight data that indicate a system failure before it happens.”
Boeing developed the IA platform based on decades
of experience supporting the global fleet and developing rigorous
methods while assisting ‘Airplane-on-Ground’ situations.
“IA’s built-in artificial intelligence, guided
exploration and powerful visualizations allow airlines to
investigate flight and maintenance data, identify trends and
discover insights - all without specialized coding or programming
skills,” said Duane Wehking, vice president of Digital Aviation
Solutions at Boeing Global Services. “This is an easy-to-use
solution that will provide value to airlines from day one.”
Based in Tokyo, ANA was the global launch operator
of the 787 Dreamliner and is a launch customer for the 777X
family. The carrier became the first airline in Japan to order the
737 MAX with firm orders for 20 737-8s, and currently operates
more than 170 Boeing jets. The airline operates the world's largest 787
fleet with 77 Dreamliners including all three sub-models.
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