About this app
How to play Owls
iGB is proud once again to launch its Most Influential Women initiative, now in its ninth year. Since 2018, we have provided a platform for females in the gaming sector to honour their work and the progress they have made in advancing DEI.
Over the course of the campaign’s lifetime, various sectors and subsectors of the industry have been highlighted and the sheer diversity of talent has shone through, year after year. We have had the pleasure of delving into the careers and aspirations of our previous winners, and learned a lot about the make up of the sector along the way.
From recruitment to regulation, cybersecurity, tribal gaming, affiliates, gambling law, C-suite leaders and everything else in between, the campaign has shown that where roles, companies and backgrounds differ, many of the women we have honoured share a united drive to improve diversity within the sector.
About Owls
iGaming was not the industry I set out to work in. Before 2021, I worked in finance and business – agro companies, management consultancy and investment funds, none of which were remotely linked to the industry.
In 2021, I joined an investment fund focused on startups harnessing AI and machine learning. In the process, I had a chance encounter with an iGaming investor. This sparked a conversation that would change the course of my career. He pointed out that iGaming was dramatically underutilising its data potential. There was an opportunity here, and once we began exploring it, the thread just kept unravelling.
I started out as an adviser with the Playa, but was appointed the company’s CEO in 2024, a position I did not expect to find myself in, but an opportunity I have embraced with open arms. As a company, we provide AI personalisation solutions to businesses, something that was totally new to the market.
About Owls
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.
“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.
