02566cam a22003138i 45000010009000000050017000090080041000260100017000670200018000840200018001020200018001200410008001380420008001460820015001541000023001692450087001922600028002792630009003072640056003163000023003723360026003953370028004213380027004495040051004765201640005276500028021676500028021956500029022232293545920250401123008.0230120s2023    enk      b    001 0 eng    a  2022061432  a9780367893620  a9781032520841  z9781003018810  aeng  apcc00a387.70 PIL1 aPilon, Ricardo V.,10aArtificial Intelligence In Commercial Aviation : Use Cases And Emerging Strategies  aLondonbRoutledgec2024  a2306 1aAbingdon, Oxon ;aNew York, NY :bRoutledge,c2023.  a245;. pages: 23 cm  atextbtxt2rdacontent  aunmediatedbn2rdamedia  avolumebnc2rdacarrier  aIncludes bibliographical references and index.  a"This book is a must read for aviation managers and all stakeholders that are interested in improving the business performance of airlines. In this book, the first of its kind on AI in Commercial Aviation, the author outlines how Machine Learning and AI are accelerating and improving the performance of airlines. Moreover, the author shares insights into many new use cases that emerging technology can deliver. He tackles all crucial functions from air navigation, flight operations, to sales, distribution, cargo, retailing and commercial optimization. He then looks forward to blockchain and the metaverse and its opportunities. With connected devices and the Internet of Everything (IoE), airlines can become retailers, sell, deliver and service holistic experiences tailored to individuals in real time. This requires airlines to modernize processes and practices supported by decision intelligence (AI) that ingests sophisticated insights and executes service automation in real time. Transforming airlines from a production to a services-based execution also requires departments to be aligned along overriding customer experience and profitability goals. The book demonstrates how AI can be deployed to redesign airline organization as well. The author also describes the next wave of business transformation around the integration of commercial functions using Composite AI at enterprise level. With his holistic understanding and experience in the airline industry, the author provides valuable insights and helps managers understand how to embrace ML and AI and contribute to future commercial aviation and cargo success"-- 0aAeronautics, Commercial 0aAeronautics, Commercial 0aArtificial intelligence.