SBC News Voice of the Sports Betting Industry
PIN-UP.TECH, part of the international ecosystem PIN-UP Global, has announced that it will take anti-fraud processes to a ‘new level’ using its own ML/AI models. According to the company, routine checks are now performed automatically, taking into account all available transaction data.
In a statement, the firm cited effective risk management as being one of the most important factors for success in the sports betting sector. Large volumes of data for each transaction, it said, require deep analysis in order to predict and subsequently prevent the possibility of fraudulent schemes, avoiding financial losses.
It noted: “PIN-UP.TECH uses the latest technologies and tools to ensure high quality, stability and security of its products, including the benefits of Machine Learning and Artificial Intelligence. ML/AI models have become one of the main tools within the new proprietary product of the PIN-UP team – a full-fledged anti-fraud platform.”
Volodymyr Todurov, Chief Analytics Officer PIN-UP Global, explained: “For our task, machine learning models were used, the main one being the gradient extreme boosting model, which is one of the best for structured data. The essence of the method is to build an ensemble of models that consistently refine each other, thereby increasing the accuracy of the forecast.”
The company underlined that its team’s plans include creating “a whole arsenal of ML/AI models that will reduce the need for manual checks to a minimum and will be able to identify risky transactions with maximum accuracy”.
The decision-making models, based on artificial intelligence, analyse a huge number of parameters of each transaction – the frequency and size of bets, the selected events, as well as their history. The model analyses several parameters, selects those with the highest predictive power and uses them in the forecast.
According to PIN-UP.TECH, the introduction of machine learning and artificial intelligence into anti-fraud processes enables a more advanced means of summarising information, identifying logic and patterns of customer behaviour.
It noted: “AI is an additional set of tools that helps the operations team work. It reduces the rate of errors and decision-making time in each specific case, and opens up new knowledge about our clients.
“In some ways, AI even deepens expertise of the specialists and broadens our horizons, since the models take a slightly different approach to decision making. Many tasks can already be given to AI offline. Thus, AI helps to scale, removes boring routine from daily operations and allows you to concentrate on a deeper analysis of other processes.”
