In recent years, the Big Data and Data Science boom has begun to reach the air transportation industry and we are now encountering the presence of these methodologies in different research projects and programmes, aiming to bring the same benefits to the aviation field that they have provided to other industries. In January 2017 Aviation Intelligence (AI) changed its name from Aviation Analytics to reflect the strategic focus the company is placing on utilising Advanced Analytics, Data Science, Machine Learning and Artificial Intelligence (AI) technologies and capabilities to augment the services already offered to … Like past revolutions, it will bring with it new business models to further improve customer experience, sustainability and efficiency. The future aviation concepts require modern data storing, data processing, and data analyzing technologies. With Big Data, IoT, and predictive analytics (or any other machine learning algorithm), aviation companies will be able to cut costs and generate new revenue streams. ‘Big data’ is a collective term for sets of data so large and complex, they become difficult to process using traditional data processing applications. Big data analytics is one of the technologies fueling the industry’s 21 st century transformations. When Boeing 787 hit the market a decade ago, it produced an average of 0.5 terabytes of data … Airbus “Skywise” platform is designed to fully exploit the potential of big data in aviation. The AD Resource System. Crucial factors such as weather forecast should be critically analyzed using sophisticated tools to ensure passenger safety. The aviation industry is now entering into its next revolution: connected, fully-digital aviation. The aviation industry is a sector involving high cost and security concerns. Includes Manufacturers Service Bulletins, Type Certificate Data Sheets and other FAA regulatory information. Big Data helps airlines have a better understanding of the individual passenger, identify patterns in his/her behavior, determine preferences and foresee future requests. IBA's extensive fleet, values and market data in combination with flight data and our professional expert opinion, offers greater confidence and assurance for investments, risk profiling and monitoring of aircraft portfolios to the aviation … It is clear that “data science and analytics in aviation” is a timely and important topic. November marks Aviation History Month, and it goes without saying that the airline industry has changed significantly since the days of the Wright brothers. New approaches to real-time data management in aviation have enormous potential for the industry. Driving actionable insight from comprehensive, integrated aviation data. produce terabytes of high dynamic data each second. Continuously growing amounts of data sources such as sensors, radars, cameras, weather stations, airports, etc. Big Data technology in the field of aviation has emerged in recent years. Analytics in this sector has huge potential, as varied data can be collected at each touch point showcasing customer interests. An Airworthiness Directives Regulatory Library for IA, A&P and other Aircraft Maintenance Professionals. It allows airlines to improve customer relationships and customer experience, discover new revenue sources and build more effective and detailed customer profiles.But airline customer data must be effectively collected and translated into actionable information for the benefit of passengers and staff. By leveraging Big Data insights, airlines have the ability to make strategic decisions and differentiate themselves in the extremely competitive market. Continuously growing amounts of data sources such as weather forecast should be analyzed. 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