Newsazenplay.comSportradar described Sports Personalization as an AI recommendation engine that determines which sports, events, markets and bets individual users see. The system is designed to personalize player-facing experiences from initial visits through live in-play betting.
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DraftKings said it uses data science and machine learning to select promotional audiences, but denied using AI to identify customers likely to lose. The operator also described eligibility checks and customer-preference data used in its messaging and promotional systems.
The Washington Post reported that gambling companies collect extensive data on betting behavior, timing and losses, which can be used to model individual customer activity. The article examined how AI and personalization may increase the precision of promotional targeting and player reactivation.
Sportradar describes a player-facing AI recommendation engine that selects sports, events, markets and bets for individual users. The system is designed to personalize sportsbook surfaces from a customer’s first visit through live in-play betting.