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Yet the presence of professional counterparties complicates the customer-facing idea that prediction markets merely allow users to trade opinions with one another. As Kendrick puts it, two ordinary customers are not going to place $10 million or $20 million behind the Philadelphia Eagles. Markets at that scale require institutions.
For Marantelli, the exchange format could also cause some customers to lose money faster than they would with a conventional sportsbook. The ability to enter and exit positions creates a perception of flexibility, but that optionality can encourage users to commit more of their bankroll.
A customer might buy a team at 55 or 56 cents expecting the price to rise to 58 or 59 cents, he explains. If it falls to 45 cents instead, the trader may refuse to accept the loss and continue holding the position.
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One customer built its own casino landing page and wanted to use Cubeia’s APIs to make it work with the platform. “Another wanted to use Cubeia’s player account management system to build its own functionality, including personalised bonuses,” Grenstad recalls.
The idea is less about Cubeia providing another AI tool than making its platform and data accessible to AI infrastructure customers are already building themselves. Cubeia is now running a pilot based on the landing-page use case.
This was not necessarily on the horizon just six months ago, Grenstad says, but now he believes Cubeia should ultimately be able to “say yes” when customers arrive with products built using their own AI tools.
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She also believes the industry needs to broaden its focus beyond gender.
“I also believe disability and neurodiversity deserve greater visibility within DEIB conversations,” she states. “These dimensions of diversity can often be less visible, yet they bring valuable perspectives, skills and ways of thinking that strengthen organisations and contribute to better outcomes.”
Bright believes the biggest challenge in Africa remains ensuring more women reach senior decision-making positions.
