Thanks to artificial intelligence, game companies have a new tool for working. Representatives of the game activity claim that AI is used to improve the quality of customer service. Such technology certainly increases user engagement. However, it also has a drawback: there is a perception that this leads to the worsening of dependence. The ethical dilemma here is whether the pursuit of profit is priority over the well-being of people subject to dependence.
For example, in horse races, AI can analyze data such as horse performance and track conditions. He also analyzes the statistics of jockeys and trainers. Consequently, he calculates the probability of victory for a particular horse, but the player makes the final decision on the bet or not. The result is that occasional bettors can obtain professional information. AI has simplified everything considerably.
AI is used in many countries to predict the results of competitions, but the trend is particularly widespread in India. The government recently had a high -level case involving the use of neural networks to bet on cricket. This sport is very popular here. There is no need to visit a bookmaker to make a bet; You can play on mobile devices. You just have to download one of Best Cricket Paris Applications in IndiaRegister and recharge your balance. Users are impatient to use AI to seek a next cricket event and place a bet with a great chance to win.
However, AI is not limited to the analysis of correspondence. Companies also use AI to personalize the game experience for players. Personalizing the Paris experience is promising for game companies. Users receive relevant content according to their past activity and behavioral similarities with players close to them. The sporting trends in force are also taken into account.
But AI is also under development to follow the problems of playing in games among customers of game companies. It follows key behavior changes such as recurring losses or continuing losses, impulsive behavior and overall expenses. In other words, artificial intelligence technology can identify key features that may indicate the presence of game dependence or fraudulent behavior. Its algorithms depend on data such as the activity of the user account, the frequency of bets, the quantities of bet and the types of bets placed.
