Stockholm-listed online gaming operator Kindred Group has agreed to support a new research project to explore the use of deep learning and AI techniques to strengthen Anti-Money Laundering (AML) controls.

It is part of a collaboration with responsible gambling data analytics specialist BetBuddy and the Research Centre for Machine Learning at City, University of London.

“This project is yet another step in Kindred’s journey to find innovative ways of improving our business,” said George Debrincat, Kindred Group money laundering reporting officer. “The project ties in to the research already started within our Kindred Futures arm, looking at how AI can support detection of possible suspicious behaviours.

“As a group we will be able to continue improving on our already strong compliance track record with the use of AI and big data, while further ensuring a safe and secure gambling environment for our customers.”

The agreement will see Kindred support and fund a Phd to explore the use of deep learning and AI techniques to strengthen AML decision processes.

“We are fortunate to have been collaborating with BetBuddy since 2014 and now look forward to working with Kindred too on this research project,” said Professor Artur Garcez, Head of City’s Research Centre for Machine Learning. “It is great to see our models and theory put to the test in a fulfilling collaboration that also drives new research that can improve peoples’ lives.”

BetBuddy CEO Simo Dragicevic added: “We are excited about partnering with Kindred, who are widely respected as innovators in all aspects of iGaming player protection.

“We are also pleased to be continuing our long-standing collaboration with Professor Garcez and his research team, who are respected globally as leaders in the fields of machine learning and extracting meaning and knowledge from AI.”


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