The gambling industry is changing at a fast rate. With the shift towards mobile gaming, operators try their best to remain competitive. At present, industry experts are looking at machine learning to make gambling operations better.
With the increased use of mobile devices, operators faced new obstacles along the way. In fact, it is now harder to identify problem gamblers and protect minors. Machine learning can help in these two areas.
Machine learning is more than just a buzzword. In fact, it is an important tool to ensure a bookie pay per head operation is a step ahead of fraudsters. In addition, using new technology will make the playing field fair for both operators and players.
There are two fields in which technology can help sportsbook pay per head operators. The first one is in protecting minors. Most teens today have access to the internet, whether it is with their laptop, desktop, or a mobile device.
These devices allow young people to access games. Kids can easily circumvent age protection tools. According to data, one of every five adults has access to mobile gambling sites. In fact, people aged 16 to 34 years old are more likely to use devices to play games.
Often, people aged 18 to 24 years old have very small data footprint. Also, they have a little credit history. Using advanced technology can help identify minors who are at-risk. Monitoring players’ behaviors can also play a vital part in age verification. Children often use their parents’ ID to gain access to pay per head bookie.
With the use of technology, such as keystroke analysis, a bookie can easily determine if the person is behaving one’s peers would do. For instance, a teen who stole her mother’s ID can be flagged by the software for not behaving as one’s age. The operator can then ask for additional documents to confirm one’s identity.