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A.I. Technology unlocking the power of your voice

Updated: Jun 26, 2022

As computer technology has advanced, artificial intelligence has become more reliable, enhancing its standing within the business world. Indeed, hospitality companies are increasingly using AI to carry out customer service tasks, which are especially important within hotels and resorts. In this article, you get a closer look in which way artificial intelligence is revolutionizing the hospitality industry.

What is Artificial Intelligence?

Artificial intelligence, or AI, refers to the performance of seemingly intelligent behaviors by computers or machines. Artificial intelligence, as a concept, has existed since the 1950s, but it is only in recent times that technology has advanced to the point where it can be considered reliable enough to deploy for important business tasks.

Essentially, AI refers to computers or machines carrying out tasks that were traditionally thought to require cognitive function to carry out. It is associated with concepts like automation and big data.

Today, the collection of customer data, combined with the improvements to computer technology, mean that artificial intelligence can be utilised for a huge range of functions, from basic customer service, to personalization tasks, more advanced problem-solving, and even for sales processes and direct messaging.

Why is Artificial Intelligence Becoming Important in the Hospitality Industry?

Artificial intelligence is playing an increasingly important role in hospitality management, primarily because of its ability to carry out traditionally human functions at any time of the day. This potentially means that hotel owners can save significant money, eliminate human error and deliver superior service.

In particular, customer service is a vital part of the travel industry, with hotels often living and dying based on the way they treat their customers. With artificial intelligence, the possibilities for improving this aspect are almost endless, ranging from increased personalization to tailored recommendations.