Leovegas Megaways

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Now, the focus is on what the company does with the additional capacity AI has created. Six months ago, Cubeia’s experiment was essentially about replacing human-written code with AI-generated code.

Since then, it has evolved into something broader: a different development pipeline, a different role for developers and quality assurance (QA), a different way of organising teams and, increasingly, a different relationship with customers.

Cubeia’s first phase was an open approach to AI. Developers could use it whenever they wanted. Phase two brought structure, with everyone using the same agents and working through the same AI-driven pipeline. That required Cubeia to solve questions around quality, reliability and how agents could work together, while getting employees comfortable with the new way of working. Grenstad believes that work has largely been completed.

About Leovegas Megaways

Earlier this year, Entain reported it would be cutting 500 roles globally across operations and its central functions, it insisted it was not a reaction to the earlier increase in RGD, but rather part of new CFO Michael Snape’s restructuring and cost cutting exercise.

Entain said at the time: “As part of our ongoing focus on enhancing Entain’s operational efficiency and agility, we have begun implementing organisational changes which will regrettably impact a number of roles across the group over the months ahead.”  

Entain cut down its Ladbrokes retail estate in Ireland by over a third in April, amid reports it had withdrawn from discussions to sell its entire Ladbrokes retail estate in the market.

How to play Leovegas Megaways

Respondents also requested structured and consistent guidelines with key performance indicators aligned to relationship outcomes. Real-time, detailed data alongside predictive behavioural signals also came up as a frequent answer.

Managerial autonomy supported by senior leadership was also mentioned by respondents.

“VIP operations is the most human function in iGaming, run by the smallest teams, on the least purpose-built technology, against the shortest-horizon metrics,” said Grygorenko.