Kuwait International Airport will use Microsoft’s Cloud solutions of Azure to modernise its operations after a partnership was formed between the companies.
The airport, which is managed by the government’s Directorate General of Civil Aviation (DGCA) Passenger, has seen traffic grow steadily over the last few years.
DGCA has deployed Microsoft solutions to become future ready to handle 25 million passengers per annum and deal with the frequent changes in the aviation industry.
Directorate General of Civil Aviation IT operations manager Mohammad Al-Mutairi said: “The Government of Kuwait wants to better address issues that many international airports face: high traffic, long lines, and inefficient gate assignments.
“Kuwait’s aviation sector has undergone an orbit shift and has played a vital role in development of the economy. By implementing the latest Microsoft technology, the Kuwait International Airport will further enhance its servicing competences and drive transformation in the industry.”
Microsoft Azure Cloud will enable the DGCA to collect, manage and evaluate airport data, and transform them into actionable business intelligence and data visualisations.
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It will help the airport to free its employees from time-consuming manual data analysis tasks and help managers obtain real-time information, which can be used to better manage airport’s operations.
Al-Mutairi further added: “Our employees are now empowered with the insights they need to make the best decisions possible, as quickly as possible.
“Our mission is to give the right people everything they need to know right now, to take the right action at Kuwait International Airport. The way Power BI brings together information in Azure Data Warehouse into one insightful, visually engaging experience is better than anything manual methods could ever do.”
DGCA transferred 3,000 field workers to Microsoft Office 365 in 2016, as well as deploying Microsoft Teams to improve collaboration, productivity, and communication with and among field workers.
DGCA is planning to implement Azure Machine Learning in a bid to automate the decision-making process that can increase human ingenuity and decrease the risk of any possible errors.