Artificial intelligence and gambling: how AI is already changing the industry today
Open any information or news portal related to technology, and there will surely be some fresh news about artificial intelligence. AI is developing at an unimaginable pace, and the possibilities of using the technology are expanding literally every day. And as it turns out, gambling is not standing aside either.
Evolution CEO Martin Karlsund shared his thoughts on how artificial intelligence has the potential to change the gambling industry and how it is already doing so.
AI and ML are different categories, but go next to each other
AI (Artificial Intelligence) and ML (Machine Learning) are two terms that are often used in the context of modern technology.
AI is a "broader" term that refers to the creation of computer systems that can perform tasks that require intelligence, such as pattern recognition, learning, planning, decision making, etc. However, building such systems can be quite complex and require a large amount of time and resources.
ML is a subcategory of AI that is commonly used to train computer systems based on data. Unlike traditional programming, where the developer explicitly specifies the steps that the computer must perform, in machine learning the computer finds patterns and regularities in the data on its own.
ML is used in various fields including natural language processing, computer vision, fraud detection, recommender systems, etc.
Artificial intelligence has the potential to qualitatively change the gaming industry and make it more personalized
With the use of machine learning (ML) and artificial intelligence (AI) systems, the gambling industry is beginning to use new tools to predict player behavior, personalize, optimize operations, and improve the quality of support users. Let's take a look at a few of the most significant changes associated with the adoption of AI in the gambling industry.
Predicting player behavior
AI makes it possible to analyze large amounts of data and identify dependencies in player behavior. This allows for the development of recommendation systems that take into account individual preferences and playing styles of users, which is particularly useful for Jackpot Jill online casino https://jackpot-jill.com/ , where it is possible to better understand the motives and decisions of players.
Personalization
With ML, audiences can be better understood and categorized by different criteria, such as gaming preferences, game history, and betting type. This allows developers to create content that is of interest to a specific cohort of players, rather than aiming for the mass market. Personalization can be in the form of personal bonuses, special offers, tournaments and other promotions.
Improved operational actions
AI allows for more efficient analysis of advertising campaigns, optimization of budgets and promotion channels, as well as forecasting LTV (lifetime value) for different user segments. This can lead to more efficient operation of operators and higher revenues in the long term.
Quality support
The use of artificial intelligence systems such as Chat GPT allows operators to answer about 80% of standard questions related to payment instruments, betting rules, bonus terms and other aspects. This reduces the load on call centers and helps operators focus on more complex and important questions.
Responsible play and player safety
The main audience of online casinos are adults who come here to relax and get positive emotions. Therefore, thanks to ML, organizers have a tool to reduce risks for players: to track behavioral patterns, to see when a user starts spending much more than usual. This can be a signal to limit the player's gaming activity or to find out the reasons for atypical behavior.
Combating fraud
Machine learning helps fight and prevent fraud. Using analytics and ML algorithms, operators can detect irregular player behavior, identify cyberattacks and take timely action to protect their users.
Improved marketing
Machine learning makes it possible to collect and analyze huge amounts of data, allowing operators to analyze the preferences and behavior of their users. Such data can be used to create more accurate and personalized ads that are more effective and appealing to specific users.
Process Automation
Machine learning and artificial intelligence can automate certain processes in the gambling industry, which reduces the workload of staff and enables operators to save time and resources. For example, automated systems can process data on bets, winnings calculations and other operations that previously required manual processing.
On the application of AI using Evolution as an example
The Evolution team is right now working on building and segmenting the service, as well as implementing ML solutions to customize the loyalty system for each user. In the future, the developers plan to use AI technologies even more to improve the platform and automate a lot of operational tasks.
Artem Skrypnyk is confident in the great potential of AI and believes that this direction deserves investment:
"The last year has fundamentally changed the IT sphere. Not everyone realizes it or wants to admit it, but now our industry is at a crucial moment that will divide it into 'before' and 'after' AI. And today, it's important for entertainment-tech companies to focus on not being in the 'before' era."