In the rapidly evolving landscape of the gambling industry, Artificial Intelligence (AI) is making waves, impacting everything from game design to customer interactions. We sat down with Lamberto Rinaldi from Gaming Insider, an expert in the field, to delve deeper into this subject. In our engaging discussion, we covered the implications of AI in gambling, its role in national regulations, the types of data currently used in betting, and much more. Join us as we explore the innovative and challenging roles that AI plays in the world of online casinos and sports betting, and how it could shape the future of this industry.
Can you explain to us how Artificial Intelligence (AI) is impacting the gambling industry?
Absolutely. AI is a technology that’s greatly influencing daily life, and the gambling sector is no exception. Its potential is particularly well exploited in this field. It’s challenging and innovative for online casinos and Italian sports betting sites, and it also poses some legal goals to achieve.
So, can you tell us how AI is involved in gambling?
When people place a bet, they’re essentially trying to predict an uncertain future event. This prediction is based solely on whether an event occurs or not. So, where does AI come in? It helps in data collection and analysis of statistics and events to improve the accuracy of a bet. Currently, the gaming industry uses historical data to “predict” future results or behaviors. This is crucial for designing games, setting odds, managing risks, and profiling customers.
Could you explain the role of AI at the national level in terms of regulations?
National regulations are becoming more efficient, not only in Italy but also across Europe and the world. Industry analysts who define the likelihood of an event, which then sets the market odds, need tools that can handle large amounts of data. Using historical data alone no longer seems sufficient. There is a need for innovation, and in the betting world, calculating the speed of a ball or a trajectory could predict a goal in real time, allowing realistic and timely updates of the odds.
Can you give us examples of the kind of data used in betting today?
Absolutely. Data used in betting today takes into account a player’s physical condition and average performance, but also variables like weather, environmental factors, and even a club’s prospects. It’s an approach based on a multitude of cross-referenced data that allows operators to identify trends, statistics, and the probability of a result, which leads to the issue of the odds.
In addition to this, what other uses does AI have in the industry?
From a certain perspective, AI could create new gaming functions and services. But that’s not the only application. AI can also be used to counteract or prevent the negative effects of gaming. In a responsible gaming context, risk prevention is fairly traditional, based on player behavior, for example. AI would be useful for interacting with customers, enhancing their experience from a customer service perspective, and more importantly, for identifying the onset of potential issues.
Can you elaborate on how AI can help in tracing and evaluating each customer?
The new technologies can track and evaluate each customer based on data, especially behavioral data. Players receive personalized feedback on their behavior, real-time updates on the time spent, and the money spent, allowing them to adjust any behaviors noticed or reported. Additionally, AI can use machine learning techniques to analyze historical betting data, odds information, and player gaming patterns to classify any anomalies.
Can AI also be used to prevent fraud and improve the sector’s reputation?
Rinaldi: Absolutely. Utilizing AI would be optimal for detecting fraud and enhancing the industry’s reputation. Today’s technologies speak volumes about an operator’s reputation. The turning point, on closer inspection, is already here.