Artificial Intelligence (abbreviated as AI) is the process of studying the human brain and its cognitive processes. The goal of these studies is to create intelligent software which can mimic processes that usually only humans can complete. It has two sub-segments – machine learning as well as deep learning.
The adoption of AI is very widespread and extremely profitable. Sources say that revenue from AI software will reach almost $90 billion by 2025. And many people are jumping on the AI bandwagon quickly. According to reports by Forbes, there’s been a 14x increase in AI start-ups since 2020.
The casino industry has been very positively influenced by AI. It has broadened the industry’s ability to reach players and potential players. This is done by creating an environment where machine-operated capabilities are boundless. As the gambling industry collects thousands upon thousands of terabytes of data, it is a ripe environment to test the applications of AI.
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AI In Gaming
The gambling industry uses AI to enhance the player’s experience as well as boost profits. Specifically, casino management uses AI in order to pinpoint trends in player behaviour and assist with optimising marketing campaigns. This is to show users more targeted offers.
Deep learning, which – as we said before – is a type of AI. It uses neural networks in order to process large quantities of data and make decisions based upon what they have learned. Casinos use, deep learning algorithms in order to better understand players’ behaviours and preferences. This is so that their experience can be tailored to what they want.
AI In Responsible Gaming
AI plays a big role in promoting responsible gambling. For instance, by tracking players’ behaviours the casino can readily identify potential problem gamblers and get them the help that they need. In addition, online casinos like Bella Vegas can detect and prevent fraud using AI algorithms. These algorithms’ ability to process vast amounts of data – very quickly – can help casino management detect fraud and stamp it out. Developers use AI to design predictive models to anticipate and prevent future instances of fraud.
AI In Casino Management
As we’ve said previously in this article, AI can analyse vast amounts of data. This is so that we are able to draw conclusions from this that we can action. In casinos there are cameras monitoring each and every nook and cranny of the playing area. This is so that casino bosses can monitor any suspicious activity. AI is able to comb through this video footage and flag any suspicious activity. This is so that it is possible that any shady activity is monitored and prevented in future.
Another use of AI on the casino floor comes in with monitoring the level of play at any given time. If people notice that there is more play happening in one area as opposed to another, more staff could be sent to this particular area.
How To Implement AI Properly In Your Gaming
AI is technology. People need to treat it like any piece of software in your organisation. Yes, this kind of technology will send productivity through the roof. However, the fundamental question needs to be asked: Do I need it? For instance, AI software that analyses video footage may be very useful in a land-based casino but it won’t be in an online environment. It’s a nice-to-have in an online casino but is there a practical need for it?
If you’ve ascertained that you really do need AI in your casino, the next step is to evaluate your internal capabilities. Are there people in your organisation who have the capacity to run with this system? If so, do they have the requisite knowledge and skills? If not, how much will it cost to train them up? Is this a feasible option? What are the risks of this? Isn’t it less risky to outsource the management of the AI solution to a specialist? This person – although maybe more expensive – will pose less risk to the organisation as they know what they are doing and have had many years of experience.
AI needs data in order to function. This means that following step 2, you need to organise your dataset. However, in order to do this, you need to be very clear what you want the AI solutions to do. Also, you need firm examples of what you want your algorithms to work from.
Here are a couple of characteristics that your dataset needs to have:
- Free from incoherent information
- As accurate as possible
- With all the required attributes required for an algorithm to perform its task
Finally, once everything is ready to go, start small. Start with a small data set to test your algorithm. If it doesn’t work you don’t have to wade through massive amounts of data to find where you went wrong. It’ll be easy to find the error. This means that you’ll be able to quickly implement the fix and then try it out on another small set of data. Once you’ve got the correct combination you’ll be able to test it out on your entire dataset and get the results that you want.
AI is not the solution for everything. It is DEFINITELY not a blanket solution to all problems. For instance, when ChatGPT was introduced onto the market, many people adopted it. (ChatGPT is the natural language processing AI-powered technology that you can have natural conversations with and so the app generates text.) They stopped using professional copywriters to generate their text. However, what this does lack is the creativity that the copywriter introduces into the text that ChatGPT can’t reproduce.
The same thing is true for the casino industry. Yes, AI can be used to facilitate processes where it analyses the data produced by the different casinos and make suggestions based on this. However, it’s how casino management implements these suggestions which will take your casino from great to outstanding. AI’s suggestions are not cast in stone. They are merely that – suggestions. How these recommendations are put together is where the magic happens.
