XIYANGYANG

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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.

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The Nevada Gaming Control Board will consider proposed revisions to several of the state’s Technical Standards for Gaming Devices and Associated Equipment at its next meeting on 7 October, spanning everything from slot systems to cashless wagering accounts, race and sportsbooks and more.

A total of 10 standards are up for revision, and the draft dates for the proposals range from June to August. The board notified licensees about the compilation of revisions and the meeting date on 4 September. Interested parties may submit comments ahead of the hearing through 5 October.

The extent of the revisions vary, but most are somewhat significant with regard to language that is being added or omitted. Proposed changes to Standard 9 (digital pari-mutuel systems), for instance, include mostly small additions, whereas Standard 3 (slot metering systems) has entire sections added and subtracted. Explanatory notes for the edits are frequent throughout all of the proposals.

About XIYANGYANG

That study found that AI adoption across the gambling industry remained uneven. It highlighted customer support, data analytics, fraud detection, and responsible gaming as areas where the technology was already being heavily used.

However, it also found that formal governance of AI was struggling to keep pace with its growing usage. Only a minority of organizations surveyed reported having a formal AI strategy or roadmap. Many said one remained in development.

The MGA also found that only a small number of respondents had fully established AI risk assessment processes or incident-response plans.