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Independent analysis by Bettormetrics found Kambi partners either led or shared the lead on measures including time to market, live uptime and bet delay. It also outperformed its B2C and B2B competitors on live uptime in World Cup markets including over/unders on total goals.
“All the testing in the world cannot tell you precisely where you stand against the rest of the market on key aspects of the product,” Lamb says. “It was very positive to see Kambi as a leader in these key metrics.”
The way customers used the offering was equally instructive. Bets outside the match-winner market accounted for 63% of pre-match turnover, compared with 57% in 2022, reinforcing the importance of depth beyond traditional markets.
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“When a company refuses to respect the workers who make its profits possible, we shut it down,” Thomas G Mari, president of Local 25, said in a statement. “The teamsters don’t cross picket lines and won’t be intimidated.”
Union deals have been a pressing topic for casino operators in recent years. Workers have pressed for increased benefits and job security provisions in the wake of macroeconomic uncertainty and the advent of potentially disruptive technologies like AI.
All nine of Atlantic City’s casinos agreed to new labour deals this summer without a strike, although its union opted for just one-year deals instead of the typical length of three or more years. This was in response to increased uncertainty related to looming competition from both New York City casinos and New Jersey’s own online gaming industry.
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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.
