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The aim is an on-demand sportsbook capable of offering the right bet to the right customer at the right time. Lamb believes Kambi’s network of more than 70 partners provides an important advantage in pursuing that goal. More than €17 billion in annual liquidity and billions of bets placed each year give its models a depth of information that can improve pricing, risk management and product development.
“The term AI is everywhere across the world of technology, and the betting and gaming industry is just one where its impact is being felt,” Lamb says. “Taking AI beyond being a buzzword, building and deploying the systems and automation necessary to maximise its potential and deliver the right results is the challenge each of these industries face.”
For Kambi, data must be combined with the knowledge of experienced traders who can direct the technology, scrutinise its output and identify where it can add value next.
How to play Sea Of Wealth
OpenBet emphasized that this change comes at a strong moment for the company and follows its incredibly successful delivery for customers through the World Cup. Throughout the tournament, OpenBet processed 175 million bets totaling $3 billion.
CEO Levin, who is set to transition to a chair role, commented on the shift, saying that he was very confident that Konstakis has what it takes to be CEO and drive OpenBet to new heights.
He [Konstakis] knows our business, our customers and our technology inside out, and has played a central role in shaping our priorities and how we execute against them. Furthermore, Nikos has been a true confidante and partner in the business since coming on board over eight years ago.
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“During the hybrid period in Q1, Cubeia solved 259 issues. Once it moved to the AI-driven process, that figure rose to 421 – a 62% increase. Larger projects increased from 17 to 58. So the answer is yes: moving to AI-driven development has increased our output tremendously,” Grenstad says.
But the more important question now is what Cubeia does with that capacity. “Because we’re not spending as much time coding, we’re spending more time on the business: talking about value and understanding the domain,” he says.
Rather than simply building what is requested, teams are increasingly expected to understand why something is being built and what value it should create.