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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.

Coming from the outside, I needed to gather a team to help steer the ship. In the two years since I took on the role, I have been blessed to work with some of the sharpest minds in the industry and I couldn’t be prouder of what we have achieved so far.

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I would be lying if I said it’s going to be easy to accept this transition and to refocus my efforts elsewhere. However, I am eternally grateful for having been given this excellent opportunity and have enjoyed every aspect of being involved in the Calvin Ayre organization. What is coming next may still not be defined, but that’s what is going to make the next chapter exciting; it can bring essentially anything and everything. What I know, regardless of what happens next, is that I will continue to be who I am and will continue to provide the same level of professionalism and integrity that have brought me this far, and which are paramount for everyone involved with Calvin Ayre. I thank everyone at the organization for their undeniable commitment to excellence and thank all of our supporters and readers for allowing us to share with them our experiences and knowledge. 

If anyone wants to reach out to me, I can always be found on LinkedIn.

The post The problem with time is that it always changes. appeared first on CalvinAyre.com.

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Within this shared model, there was a clear preference for personalised interventions over generic ones. 

Tailored, behaviour-triggered messages were seen as more effective than generic warnings, but many participants simultaneously expressed mistrust towards operators collecting behavioural data.

Finally, the study found that these needs and preferences varied widely by product type.