According to Klein, today it is possible to track any online operation from defined databases, which makes it possible to create algorithms that can secure databases for risk analysis.
The second data segmentation has to do with how a customer plays, allowing real-time player behavior to be assessed.
The third has to do with enabling mechanisms for customer communication campaigns, analyzing big data to provide optimal conditions for the player experience.
“The last thing we do, that has to do with artificial intelligence, is to prevent risks from actions that may occur. Operators and regulators have tools at hand to restrict gaming period, deposit limits, etc. These tools are already in place and allow us to segment the entire gaming process under our responsibility,” she explained.
“All of our tools enable us to intelligently use product data as well as player interaction, making them have a positive experience,” added Klein.
According to Playtech's executive, money laundering is restricted by regulation with strict registration requirements, “but it is very clear that the regulated gaming industry has no money laundering conditions due to all controls and also by the taxes charged from the activity.”
For Klein, there is a strong interaction of the company with regulatory and supervisory bodies, in order to ensure transparency to the sector and safety to all involved in the gaming activity.
“Colombia and Mexico were countries that regulated their markets in a very positive way and we participated with them in all stages of the process, which ensured that we were fully aware of this issue and it was possible to improve processes for effective gaming control and risks regarding money laundering,” she concluded.
Source: GMB
