A special type of machine learning consisting of artificial neural networks with multiple layers of abstraction. Today, it is primarily used in model recognition and classification applications supported by very large data sets.
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Big Data, Artificial Intelligence, and Their Implications in the Tourism Industry
Evrim Çeltek (Tourism Business and Hotel Management College, Gaziosmanpasa University, Turkey) and Ibrahim Ilhan (Faculty of Tourism, Nevşehir Hacı Bektas Veli University, Turkey)
Copyright: © 2020
|Pages: 16
DOI: 10.4018/978-1-7998-1989-9.ch006
Abstract
Tourism businesses use AI and big data to connect guests creatively and meet their expectations with personalized service. Big data enables tourism professionals to learn more about their customers, and the more they know, the better experience they can offer to customers. As it provides real value, AI has already become an integral part of operations, and this trend will continue. Tourism businesses use AI tools to reduce operating costs and maintenance bills as in many other sectors. AI-oriented marketing has already been widely used in the hospitality industry. Moreover, as long as technology evolves and becomes more complex, tourism professionals will find more ways and methods to implement big data and AI to satisfy customers, and AI will continue to transform the tourism industry. Properties, advantages, and problems of artificial intelligence and big data are discussed in this chapter, and some examples are given from the perspective of the tourism industry.