SkillOnNet to launch machine learning Safer Gambling tool across all brands
Platform provider behind some of the biggest online casinos has partnered with Neccton to launch its harm detection and harm minimization Safer Gambling tool
SkillOnNet, the market-leading online casino platform provider, has partnered with data science specialist Neccton to roll out an innovative machine learning Safer Gambling tool that helps players avoid gambling-related harms.
Called Mentor, the tool developed by Neccton in collaboration with behavioural scientists and psychologists, tracks player data, detects risk patterns, changes in behaviour and flags signs of problem gambling. If a player is considered at risk, they are given personal feedback and tailored communications to prevent harm.
The communication sent to players is amongst others based on “motivational interviewing”, a counselling approach developed by clinical psychologists William R Miller and Stephen Rollnick. The technique works with nudges to achieve behavioural change.
The tool will be rolled out across all SkillOnNet brands including PlayOJO, AHTI Games, Slingo, Lucky Vegas, Royal Bet, SlotsMagic and more.
Andy Andrew, Head of Compliance at SkillOnNet, said: “We are thrilled to have joined forces with Neccton, bringing its state-of-the-art machine learning Safer Gambling tool to our in-house online casino brands and those of our white-label partners.
“Safer Gambling is one of the most important aspects of operating in online casino markets and although already very advanced in this area using in-house tools, we are proud to be among the first to adopt and launch innovative technologies.
This ensures that players who show signs of risk via customer interaction receive the best possible advice and practical help.”
Dr Micahel Auer, Director at Neccton, said: “Academic research is at the core of our work. Over the last ten years we have published more studies than anybody else in the area of player tracking and responsible gaming.
“We have shown what works and what does not work and are constantly improving our solution based on academic evidence and best practice.”