Sustainable Tourism Law

796 SUSTAINABLE TOURISM LAW Automatic machines, robots and artificial intelligence will be common during transit through the airport, making operational decisions and reducing operating costs 44 . In fact, together with the IoT, the Cyberphysical Systems, the Additive Manufacturing and the 3D printing, integrate industry 4.0 closely related to the airport and the airport service, Big Data, Data Mining and Data Analytics 45 , Artificial Intelligence 46 , Collaborative Robotics 47 , Virtual Reality and Augmented Reality 48 . IATA and ACI promote and push the service towards that destination through the NEXTT project (acronym of “New experiences in travel and technology”). “We work to ensure that the transport of passengers, baggage and cargo, benefits from the latest technology to improve the user experience, with reliability and efficiency,” says the main objective of the program. NEXTT will integrate all those research, strategies and investments that help increase the logistics capabilities of air transport in three areas: Activities on land (Off-airport activities): Facilitate security processes, as well as user registration and luggage delivery, to optimize the total travel experience; State-of-the-art technology for information processing (Advanced processing technology). Develop applied technologies, for example, the tracking of suitcases, 44 Gittens, Angela “View the top. The benefits of making the optimum use of emerging technologies, process and design developments “Airport World, August-September, 2017. 45 Six technologies to explain Industry 4.0. “The amount of information that is currently stored in relation to different processes and systems (both industrial and logistics), services (sales, connections between users, electricity consumption, etc.) or data traffic (logs in routers and equipment, among others) ) is huge and unmanageable manually. The analysis of these data can provide very valuable information about the behavior of these processes; can prevent problems in a certain industrial process through the detection of results or anomalous measures (with- out the need to have previously defined what measure is or is not anomalous) or determine which events are related within a more complex process facilitating their management through prediction, knowing in advance that one event will trigger another with some probability. From all this information you can perform simulations that, in addition, allow you to predict what resources are going to be necessary, and you can optimize their use automatically and proactively anticipating future events “. See: https://www.gradiant.org/noticia/tecnologias-industria- 4-0 /. 46 “Tools and technologies are necessary which are capable of processing in real time large volumes of informa- tion that we extract from Big Data technologies, as well as algorithms capable of learning autonomously from the information they receive, regardless of the sources, and the reaction of users and operators (Machine Learning, Deep Learning and Artificial Intelligence techniques). “See: https://www.gradiant.org/noticia/tecnologias-industria-4-0/. 47 “This term defines a new generation of industrial robots that cooperate with humans in a close manner, without the characteristic safety constraints required in typical industrial robotics applications. It is characterized, among other things, by its flexibility, accessibility, and relative ease of programming. “See: https://www.gradiant . org/noticia/tecnologias-industria-4-0/. 48 “The greater accessibility of these technologies in recent years has made them a useful tool for the optimiza- tion of designs, automation of processes, control of manufacturing and construction, training and training of work- ers, and maintenance and follow-up work. “ See: https://www.gradiant.org/noticia/tecnologias-industria-4-0/ “.