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Four of the investigations – those involving Resorts World Las Vegas, MGM Resorts, Caesars Entertainment and the Venetian – centred around AML violations related to illegal bookmaker Mathew Bowyer, who was placed on the state’s exclusion list in April. The other case involving Wynn Las Vegas did not pertain to play from Bowyer.
Wynn forfeited $130 million to the federal government for a slew of proxy betting violations, which was “believed to be the largest forfeiture by a casino based on admissions of criminal wrongdoing”, per federal prosecutors.
Internally, the board has also been hard at work revising and overhauling several sets of regulations, including rules for gaming salons, AML reporting and now technical standards. Dreitzer represents the fifth NGCB chair to take office since 2019, and the partial term he inherited runs through January 2027.
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The charter also made a series of other recommendations. It suggested that companies should designate a senior member of staff responsible for governance of the technology. It additionally recommended an AI oversight or ethics committee.
The framework also urged companies to implement rollback mechanisms and “kill-switch” controls for higher-impact systems.
For AI-powered customer support and chat, operators are encouraged to set clear parameters for when conversations should be moved to a human member of staff. These include repeated low-confidence responses, unresolved queries, indications of distress, or a customer simply asking to speak to a human.
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Sportsbook operators have an inherent advantage over prediction markets in that the former can offer significantly larger sign-up and retention bonuses and gaming companies are leaning into those expenditures this football season.
Promotional spending is nice and has proven to be an effective customer acquisition tool, but both sportsbooks and prediction markets would do well to emphasize bespoke experiences for clients because they’re looking for customization.
“Twelve percent of respondents have switched platforms because another offered personalization aligned with their interests, while 9% said recommendations based on their interests would make them more likely to try a prediction market,” concludes Fullstory.