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AI On Cruise Ships: The Fascinating Ways Royal Caribbean Uses Facial Recognition And Machine Vision - Forbes
In the travel industry, the primary use cases for artificial intelligence (AI) and machine learning technologies revolve around improving customer experiences.
Chatbots, in particular, have proven popular across this industry, with natural language processing (NLP) applied to the challenges of dealing with customer inquiries and providing personalized travel experiences.
Alongside this, recommendation engines power the most popular online travel portals such as Expedia and Trivago, combining customer data with information on millions of hotel vacancies and airline flights worldwide.
However, when it comes to operators, compared to other industries such as finance or healthcare, the travel industry as a whole is at an early stage when it comes to organization-wide deployment of smart, self-learning machine technology.
In the travel industry, the primary use cases for artificial intelligence (AI) and machine learning technologies revolve around improving customer experiences.
Chatbots, in particular, have proven popular across this industry, with natural language processing (NLP) applied to the challenges of dealing with customer inquiries and providing personalized travel experiences.
Alongside this, recommendation engines power the most popular online travel portals such as Expedia and Trivago, combining customer data with information on millions of hotel vacancies and airline flights worldwide.
However, when it comes to operators, compared to other industries such as finance or healthcare, the travel industry as a whole is at an early stage when it comes to organization-wide deployment of smart, self-learning machine technology.