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About PokerMan - Poker with friends!
As Paul Crisp, Cubeia’s head of marketing, points out: “If the objective is 10% more traffic, for example, how do we measure it?
“We need to establish a baseline, implement the change, measure it and see whether it goes up by 10%. If it only goes up by 1%, maybe we need another iteration because we haven’t fulfilled the objective.”
The next development is increasingly being driven by Cubeia’s customers. Now the company is asking what customers will want to do with AI, Grenstad explains.
About PokerMan - Poker with friends!
Strip away the language of contracts, order books and event trading and Bernard Marantelli has a blunt description of what is happening inside US sports prediction markets. “Kalshi is a sportsbook that’s just not allowed to have an in-house risk team,” says the founder of White Swan Data, one of the specialist firms now making markets on prediction exchanges.
The difference is all about the risk function. A sportsbook employs traders to price bets and manage its exposure. An exchange provides an API through which firms compete to quote prices and supply liquidity.
“Here’s an API. Bernard and 88 other people can market-make all these request-for-quotes (RFQs),” Marantelli says. “Some people might come in and just do esports because they’re esports experts. Others do everything. Some focus on same-game parlays. But it’s a sportsbook.”
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“Pachinko is a huge part of the culture,” says Leckert. She explains the “ease of walking into a pachinko parlour” is irreplaceable.
The sheer scale of pachinko underscores Japan’s complex relationship with gambling. Valued at around $130 billion in 2020, the industry represented roughly 2.5% of Japan’s GDP, highlighting its significant place in the country’s leisure economy.
Developers could absolutely take away lessons on entertainment and engaging the local audience from this longstanding tradition.
