Google Cloud collaborates with Air France-KLM to develop generative artificial intelligence technology
Google Cloud announced on Wednesday that it has partnered with Air France-KLM to deploy generative artificial intelligence (AI) technology on the airline group's data. In a statement, Google Cloud mentioned that the French-Dutch airline group operates 551 aircraft and transported 93 million passengers in 2023. Its commercial and cargo flights generate a vast amount of data, and Google Cloud's AI solutions will utilize this data to analyze passenger preferences and travel patterns, as well as predict aircraft maintenance. Google Cloud stated that Air France-KLM will retain full ownership and control of its data, adding, "The group will gain deeper insights into passenger preferences, travel patterns, and behaviors to provide tailored new travel options and services, and will be able to enhance flight, airport, and business operations. The time required for data analysis needed for predicting aircraft maintenance has been reduced from several hours to just a few minutes." Matt Renner, President of Global Revenue at Google Cloud, stated, "Airlines generate a tremendous amount of data, much of which has incredible value in helping drive operational insights and build better customer experiences."
According to Zhitong Finance APP, Google Cloud (GOOGL.US) announced on Wednesday that it has partnered with Air France-KLM to deploy generative artificial intelligence (AI) technology on the airline group's data. Google Cloud stated in a press release that the French-Dutch airline group operates 551 aircraft and transported 93 million passengers in 2023, generating a large amount of data from its commercial and cargo flights. Google Cloud's AI solutions will use this data to analyze passenger preferences and travel patterns, as well as to predict aircraft maintenance.
Google Cloud stated that Air France-KLM will retain full ownership and control of its data, and added: "The group will gain deeper insights into passenger preferences, travel patterns, and behaviors to provide tailored new travel options and services, and will be able to enhance flight, airport, and business operations. The time required for data analysis to predict aircraft maintenance has been reduced from several hours to just a few minutes."
Matt Renner, President of Global Revenue at Google Cloud, stated: "Airlines generate a vast amount of data, much of which has incredible value in helping drive operational insights and build better customer experiences."