Impact of artificial intelligence on Aviation social Media; A case analysis of British Emirates Airline

            In the early 21^st century trend of data mining and data storing have becomes more vital.  Each section of the business requires it’s on a database for storing the data in effective manners. Humanity entered a long time ago in the age of the industries with the steam series which caused the primitive mechanism in the aviation industry. According to the development of the electronics, internet, nanotechnology, mobile technology and innovation in medicines. In this paper, the passenger value model will be proposed based on social media platforms like Facebook, Twitter, and Instagram.

            A huge amount of data can be efficiently processed through technologies of business intelligence; the business data is either structured or unstructured, and business community can enjoy the benefits of data mining technique for potentially significant business decisions and develop their business in a lucrative manner.  The passenger value model is proposed by using the case analysis of the British Emirates Airline on Facebook, Twitter, and Instagram.

            This study will also demonstrate how the big social data analysis can assist the British Emirates Airline for understanding the passengers in better ways for improving customer relationship management. The major aim of this is to measuring customer relationship management by the analytics of the data in the aviation industry of the Emirates. The major's objectives of this study can be explained in the threefold as;

Developing a model for the passengers, Social value model

For the proposed model to discuss the possible application scenarios

For the A case analysis of British Emirates Airline using the sentiments for Facebook, Twitter, and Instagram.

            The research study will also demonstrate the behaviors of the users of the Facebook, Twitter, and Instagram for availing the services of British Emirates Airline. The practical implications for the airlines will also be discussed in the study for managing the platform of social media. The comprehensive profile of the traveler also can be established by using the social media value of the combination of the passengers. The offline behavior of the passengers can also evaluate by using artificial intelligence in the aviation industry of the United Arab Emirates particularly British Emirates Airline. Most importantly, the research study is significant for measuring the impacts of artificial intelligence in the aviation industry of the United Arab Emirates.

Keywords: Data analytics, British Emirates Airline, Artificial intelligence, Facebook, Twitter, Instagram, and the United Arab Emirates