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The 2026 World Cup was therefore the culmination of five years of development that had embedded AI throughout Kambi’s trading operations.
“In simple terms, what we have undertaken is a shift from machine-assisted human trading to human-assisted machine trading,” Lamb explains.
The shift means that rather than spending their time pricing and managing established markets, traders can now apply their expertise where human judgement has the greatest value, including developing and testing new products. AI removes many of the practical limits on what can be offered and priced, and manages the resulting scale and complexity. The result is greater efficiency for Kambi and a better service for its partners and their customers.
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Despite the delay, Weizer declared: “I will say that the expectations remain the same to enter into an agreement and launch sometime at the beginning of next year.”
Playtech CFO and Director Chris McGinnis told analysts on Thursday that the deal could provide an additional boost to the company’s medium-term outlook.
He explained the Brazil opportunity wasn’t explicitly built into Playtech’s medium-term guidance when it was set after its full-year results in March last year.
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Marantelli says the London-based White Swan is a significant market maker on several secondary exchanges, accounting for as much as 40% of activity on some platforms. Its particular focus is the RFQ, parlay market.
“Just better margins,” he says of that decision. “I think it’s more defendable. It’s the area that fewer people can do well. So I think it’s more defendable margin, more ability to get long-term contracts and beneficial positions.”
Singles can be profitable, but parlay pricing requires the market maker to calculate the correlations between multiple outcomes and respond dynamically to individual requests. It is a skill set built over years in the sharper regions of the existing sports betting ecosystem.
