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“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.
“To this point, sportsbook product creation has largely been guided by a trading department’s ability to profitably price and risk-manage certain bet offers,” Lamb says. “AI trading lifts those limitations, while also enabling that existing human expertise to be leveraged more effectively.”
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signals how far Pragmatic Play is willing to push iteration on a recognizable mechanical family
A fourth Halloween variant in one series also signals how far Pragmatic Play is willing to push iteration on a recognizable mechanical family. Familiarity is the point. Each seasonal skin trades on established player recognition rather than introducing a new core experience.
Whether players see genuine value or diminishing returns from a fourth spooky variant is a fair question. The commercial logic, though, is clear. Big Bass Splash Halloween 1000 is less a new chapter than an on-schedule seasonal refresh of a franchise Pragmatic Play has every incentive to keep in circulation.
How to play Hot Fruits 100 Extra Chillis
James Monk, founder of sports data and streaming provider Catalist Sports, has witnessed that dependence directly. Catalist supplies ITF tennis data to Kalshi and Polymarket and has an exclusive US sports-streaming agreement with Kalshi.
The company must also provide data to the firms making markets on those events.
“If we just sold the data to Kalshi in order to list the markets but no one was coming in and placing liquidity, there’s no point in them listing the markets,” Monk said. “We also need to supply the data to the market makers to inform their models.”