The next operating system for airports will be AI driven.
Using AI to optimize processes that enables people to fly in a more easier and faster way to destinations.
Possible AI-powered Applications for the aviation industry
Prevent delay of airplanes by predicting outage by using smart sensors.
Shorten the time between landing and takeoff by optimizing processes using data science methods.
Using time-series methods and big data analytics to calculate how a product’s price affects demand, accounting for a wide variety of factors including competition prices and omni channels.
Supply Chain Analytics
Within the logistics and service industries, AI tools are ingesting the raw data from Internet of Things (IoT) sensors, combining it with location intelligence, and delivering new kinds of services to meet increasing customer expectations.
Autonomous ground services
The AI operating system for all operations near airplanes at the airport. Using AI to manage self driving machines that handle all the ground work.
Predict possible shortage of crew by using AI.
77% of executives choose AI as a core strategy of their business
AI will have a significant impact on the aviation industry because it creates tangible results fast.
Air transport, airport logistics, crowd management, flight management, crew management, traffic lanes, flight pricing strategy, e-commerce.
2% of all employees in the world are active in the aviation industry.
Increasing demand for sustainable air traffic. Improving ground transportation. Recession would influence demand in flights.
What value can bring Data Science & AI to your aviation company?
Using smart cameras, nodes and IoT sensors, you can gather more information about the developments of your goods.
Using deep learning techniques and image recognition, you automatically convert your data to actionable insights.
The data ecosystem
Connecting data sources from different stakeholders in the value chain you can create an ecosystem and profit from large scale data analysis.