artificial intelligence
Dry definition of AI
Very dry, the topic of artificial intelligence (AI) is first explained as follows on Wikipedia:
Artificial intelligence,..., is a branch of computer science that involves automating intelligent behavior and machine learning.
However, Wikipedia also states that the term is difficult to define. Especially because “intelligence” alone cannot be described precisely.
However, the term AI is used everywhere — in our everyday lives, in research, in industry.
The most widespread idea is that AI is an attempt to emulate the decisions and actions of us humans. For example, a computer is then built or programmed in such a way that it can deal with situations and problems relatively independently.
Constantly surrounded by AI
What most people may not be aware of is that we are constantly surrounded by applications with artificial intelligence:
- Cell phones with facial recognition
- voice assistants
- Smart Home
- Recommendations for streaming services
- Control mechanisms in social media
- language translations
- Autonomous/assisted driving
- chatbots
- ...
AI — great expectations, fascination and fueled fears
The big field of artificial intelligence involves machine learning, deep learning, algorithms and neural networks. These buzzwords are all interrelated and on the one hand create great expectations and on the other hand they are associated with great fears.
At its core, it is about simulating people's learning and intelligence. The applications should record, process and handle information.
On the positive side, it is hoped that AI will predict the failure of systems and machines, find signs of cancer and other diseases more quickly, or show how traffic and goods flows behave. Raw material cycles are maximized and health maintenance is optimised. And in their own area, everyone is probably hoping for something easier in their personal environment — keyword smart home or the car that finds the parking space.
But fears are also associated with AI: Automation can take jobs away from us or control us more closely at work.
Hotels and AI — the way forward
Artificial intelligence has also already found its way into the hotel industry. As in all other industries, this concerns, on the one hand, the “behind the scenes” area. Software applications use AI. For example, to find out fraud involving credit card payments.
There are also very prominent examples such as the Sepp hotel robot at Motel One or Mario in the “Ghent Marriot Hotel”.
It is also in no way about replacing personal contact with the guest — no: AI should help free up resources in daily hotel operations that we would otherwise waste on recurring processes. This gives our employees more time to take care of the guests again.
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