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Pulse


Artificial Intelligence ROULAITTE


Once the user inputs the number, they press a button, and the AI processes the data. A recommendation is then provided regarding the market on which the user should bet on the next roll and the amount of money that should be wagered on that specific market. It's that simple. And all of these in just a few milliseconds.


Who is the Roulaitte customer? What's the typical demographic?


Our typical customer has a keen interest in gambling, specifically in games of chance like roulette and they are often enthusiastic about using strategies to improve their odds. Te hundreds of millions of players involved in gambling around the world are our potential clients.


Another point that I want to add is that since we offer a unique worldwide service called live money management, our audience includes all those who invest online or use financial models in other fields like forex and cryptocurrency.


Roulaitte's models predict the likelihood of specific numbers, dozens or colours with a high degree of accuracy. Why are there patterns in Roulette? Can they not be seen by the naked eye?


According to the law of large numbers, as the number of spins increases, the actual results will converge towards the expected theoretical probabilities. However, within smaller sample sizes, deviations can occur, which can be interpreted as patterns. Our AI is designed to detect these subtle deviations and make predictions based on them.


Human beings are not equipped to process and analyse large volumes of data quickly and accurately. In contrast, AI can evaluate vast datasets in real time, identifying complex patterns and correlations that are invisible to human observation.


For instance, our AI might detect a recurring sequence of numbers or an unusual distribution of colours over several thousand spins, which a human player could never perceive.


By using advanced statistical techniques and machine learning, our AI distinguishes between random noise and meaningful trends. Tis ensures that the predictions are based on solid scientific principles rather than mere


P94 WIRE / PULSE / INSIGHT / REPORTS


chance. Unlike traditional methods, our AI continuously adapts to new data. Tis means it updates its predictions based on the most recent outcomes, providing a dynamic and constantly evolving strategy that can respond to changes in the game environment.


How can players employ Roulaitte's AI money management in land-based casinos?


It’s important for players to be aware of the rules and regulations of the land-based casino they are visiting. Most casinos allow the use of mobile devices in general areas, but players should ensure that their use of the Roulaitte app complies with the casino’s policies. Clients can use our application in any land-based casino that allows the use of mobile phones.


Just how cutting edge is the tech? Would the product have been technically possible a few years ago?


At the heart of Roulaitte is a powerful AI engine that employs advanced machine learning algorithms. Tese algorithms can analyse vast amounts of data in real time, identifying patterns, and making precise predictions and adjusts betting recommendations based on the player's current bankroll and the evolving conditions of the game.


By continuously monitoring and analysing the player's bankroll in real time, the AI ensures that betting strategies are always aligned with the player's financial status and risk tolerance, maximising the chances of sustained success.


As for the second part of your question, I can tell you that this type of project would not have been possible a few years ago. Modern processors and cloud computing infrastructure provide the necessary horsepower to analyse data in real time, a capability that was limited in the past.


Also, I want to emphasise that ongoing research and development in machine learning have led to more efficient and effective algorithms that can process and analyse data faster and more accurately than ever before.


What data manipulation techniques, segmentation, models and analysis are used to optimise Roulaitte's performance?


As a matter of fact, I can’t deny that we are using both supervised and unsupervised learning models along with countless famous


and infamous methods such as logistic regression, decision trees, gradient boosting machines, k-means clustering, hierarchical clustering, and countless others. As well as using Real-Time analytics techniques, we are ensuring that AI adapts immediately to the latest game conditions.


Is Roulaitte the finished product or is product refinement a continuous process?


A combination of two. I will give you an example. Consider a high-performance Formula 1 car… Even when it rolls out of the factory, perfectly engineered for speed and precision, the team behind it never stops fine- tuning and upgrading it. Engineers constantly analyse race data, tweak the aerodynamics, enhance the engine, and adjust the suspension to ensure it stays at the cutting edge of performance.


Similarly, Roulaitte is designed with AI and machine learning algorithms that are fully operational and effective from day one. Yet, our commitment to excellence means we continuously analyse data from real-world usage, seeking new patterns and insights.


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