Nowadays, the application of artificial intelligence technology can be seen in many fields. Amazon, Google, advanced camera systems, language translators, chatbots, self-driving cars or well-known robotic dogs from Boston Dynamics, uses it. As you can see, its use is indeed unlimited, and it is only logical that AI will penetrate other sectors of business in the future.
The first references to artificial intelligence can be found in sci-fi literature. One of the first scientific mention was made by mathematician Alan Turing, who is also the author of the notorious Turing test, which aims to test whether any artificial intelligence system behaves intelligently in human nature.
Shortly after, neural networks were created in the 1950s, the technology of which is used, for example, by Google in its translator. Another significant milestone in the history of artificial intelligence was 1997 when the famous computer Deep Blue defeated even more famous Russian chess player Garry Kasparov. AI Developers celebrated a similar success in 2016, where their program beat the world champion in the Asian board game Go for the first time in history.
Also worth mentioning is the success of the Libratus program, which for the first time in history has beaten leading poker pros. All thanks to an analysis of his opponent’s previous games. However, Libratus is not the only intelligent program that shapes the future of gambling.
Identification of Problematic Gamblers
Gambling addiction is a global problem facing millions of people. The casinos themselves are very aware of this and offers, e.g. self-limiting measures. It is not possible to control individual players, but thanks to artificial intelligence, it is possible to analyse betting patterns to identify addicted players. Once the patterns are recognized, the program sends info to an online casino that bans that player.
BetBuddy from Playtech has proven that this is not complete science fiction. The main goal of this app is to detect high-risk behaviour and to inform the player and operator.
Data Mining and Analysis
On the Internet, it is effortless to monitor data about individual users. Online casinos are no different. Website operators carefully collect and store data about each of their players. And artificial intelligence should help analyse this data and offer players unique services. These could include customized promotions for your favourite games or payment methods.
However, this coin has two sides. On the one hand, the player enjoys betting more, but on the other hand, there is a much higher risk of addiction and financial losses. Countermeasures involve legislative actions prohibiting certain types of advertising, bonuses and other promotions. An example is the planned ban on credit card gambling payments in the UK.
Customer Service and Communication with the Client
Analysis of consumer behaviour can also lead to more efficient customer support. With a predictive analysis of behavioural patterns, operators can offer advice or help before a player asks for it.
Slowly but surely, chatbots are also starting to be introduced. Soon, they will communicate at such a level that you will not notice the difference between a real people. This chatbot not only can answer the player’s questions but also record, analyse and send a possible request to the solution. As a result, this will mean significant cost savings for gambling operators.
Detecting Casino Frauds in Land-Based Casinos
Since gambling was invented, players have been trying to cheat. Nowadays, these scams are much more sophisticated than they were at the beginning. The methods of detecting fraudsters must be, therefore, equally advanced. This is also how artificial intelligence will be used. An example is a CCTV system equipped with a face recognition program that is linked to a database with a NORA (Non-obvious relationship awareness) system. This system looks for relationships between already registered fraudsters, well-known card counters, casino staff and new players.
Modern CCTV systems can also easily detect fraudulent methods that use chip handling, a collaboration between players, or card counting techniques. Currently, casino staff do all of this.