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Japan’s attempt to reap the economic benefits of casino gaming while keeping gambling socially contained is comparable to Asia’s dominant casino hubs Singapore and Macau.

Singapore has also imposed a highly controlled casino model, with casinos embedded within enormous integrated resorts and accompanied by entry controls and social safeguards. But by incorporating other forms of entertainment into their resorts, Marina Bay Sands and Resorts World Sentosa have proved hugely successful businesses that blend casino gaming with complementing luxury retail, hotels and entertainment.

Genting Singapore’s flagship Resorts World Sentosa (RWS) offers a smorgasbord of non-gaming entertainments, including Universal Studios Singapore. “These different businesses are planned and operated as one connected destination for leisure visitors, families, business travellers and event delegates, with the aim to widen the destination’s appeal, encourage longer stays and support spending across a broader tourism ecosystem,” a Genting Singapore spokesperson tells iGB.

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“Trust is fundamental to the responsible adoption of AI. As its use becomes increasingly embedded across the gaming sector, organisations need practical ways to understand where AI is being used, manage the associated risks and ensure that accountability and human oversight remain firmly in place,” he said.

“The AI gaming charter translates these principles into practical, sector-specific guidance,” he added.

The charter also made a series of other recommendations. It suggested that companies should designate a senior member of staff responsible for governance of the technology. It additionally recommended an AI oversight or ethics committee.

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While this initially seemed terrifying, I quickly discovered that this outsider status was a gift. It has allowed me to view the industry through fresh eyes. I do not have any preconceptions about companies or products. This has become my superpower, allowing me to analyse the industry without bias and, hopefully, help shape its future.

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.