AI
Movers and Shakers – From Data to Decisions: What It Really Takes to Make AI Work in iGaming
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“Movers and Shakers” is a dynamic monthly column dedicated to exploring the latest trends, developments, and influential voices in the iGaming industry. Powered by GameOn and supported by HIPTHER, this op-ed series delves into the key players, emerging technologies, and regulatory changes shaping the future of online gaming. Each month, industry experts offer their insights and perspectives, providing readers with in-depth analysis and thought-provoking commentary on what’s driving the iGaming world forward. Whether you’re a seasoned professional or new to the scene, “Movers and Shakers” is your go-to source for staying ahead in the rapidly evolving iGaming landscape.
By Claudia Heiling, Co-Founder & COO, Golden Whale
For years, iGaming has considered itself a data-driven industry. We’ve all spent time refining segmentation, optimising CRM journeys, mapping behavioural signals, and building increasingly complex player models. And with machine learning now widely available, whether bought, built, or borrowed, it would be reasonable to assume that the industry is already fully realising the benefits of AI.
But speak to most operators, product teams, or data leads and you’ll hear a different story.
There are models running somewhere – and usually several. There are predictions being generated. There are dashboards, reports, and insights circulating. Yet the business impact often feels inconsistent. Some initiatives deliver a clear uplift; others stall or never make it past a proof-of-concept stage. Projects that shine in testing environments don’t always translate into live, reliable operations.
The issue is rarely the model. And it’s rarely the data team. The gap is operational.
It’s one thing to build machine learning models. It’s another to make them function as part of the daily working rhythm of an iGaming business.
The operators and providers seeing the strongest and most reliable gains are the ones who treat AI not as an experiment, but as a capability: something that must be designed, deployed, monitored, re-trained, and continuously improved. This is closer to how we already treat core game operations, promotional systems, risk tooling, or CRM orchestration. It’s iterative, structured and ongoing.
In practice, that means building the frameworks around the models, not just the models themselves. Continuous data flows. Automated re-training. Real-time deployment pipelines. Feedback loops that allow systems to learn not just once, but constantly. When we work with iGaming clients who have embraced this operational mindset and leverage our ready-to-deploy MLOps system built for iGaming, the impact becomes both compounding and predictable.
The other shift happening is cultural. There has been a lingering expectation in some corners of the industry that AI will replace manual decision-making entirely and that it will “take over” processes like CRM optimisation, fraud detection, or product adjustment.
That’s neither realistic nor particularly desirable.
iGaming is too contextual, too human, too dependent on craftmanship and intuition.
The real value of AI is in augmentation: giving teams better visibility, faster feedback, and stronger evidence on which to base decisions.
In organisations where this mindset has taken hold, you see a different dynamic.
CRM teams run more experiments, more often, because they aren’t spending time rebuilding segments from scratch. Analysts spend less time on manual spreadsheet simulation and more on strategic exploration. Live-ops managers can respond to player behaviour as it changes, not after the weekly report comes in.
AI becomes the layer that enhances judgement, rather than replaces it.
And when AI is integrated technically and culturally, the commercial outcomes are hard to ignore. In setups where continuous learning pipelines are properly established and aligned with live operations, we’ve seen engagement and retention metrics improve dramatically and sustainably, with activity and revenues rising by 100–200%, while bonus and incentive costs drop by 20%+, driving growth and both securing and expanding market share. Operational teams benefit too, with workflows becoming smoother and less manual because the system is handling the constant data processing and iteration.
The improvements don’t come from having more complex algorithms. They come from having a structure that allows those algorithms to perform reliably, adapt to change, and keep learning over time.
This is where the conversation about AI in iGaming is quietly changing.
It’s no longer dominated by model performance or dataset scale, rather it is focused on repeatability, reliability and learning speed.
The distinction matters because it separates having AI, from running AI.
And the operators and providers who get this right aren’t just improving performance in the short term. They are building organisational momentum, a capability that compounds over time and is very difficult to replicate quickly.
In a sector defined by tight margins, competition and rapidly shifting player expectations, that advantage is significant.
So, if there is a “next step” in the industry’s AI journey, it’s not a more complex algorithm. It’s not a bigger data pool. And it’s not a new suite of predictive dashboards.
It’s the ability to learn continuously, responsibly and at scale.
Because in iGaming, as in intelligence, data alone doesn’t win. What wins is the ability to turn learning into action again and again.
The post Movers and Shakers – From Data to Decisions: What It Really Takes to Make AI Work in iGaming appeared first on European Gaming Industry News.
When everyone has access to AI, the future belongs to those who use it strategically. Slotegrator’s updated platform has a suite of AI-powered tools that do the heavy lifting so clients can focus on strategy and business development.
Suppliers are racing to incorporate AI features. Instead of just keeping up with the hype, Slotegrator updated its platform with a suite of AI tools that help its clients by doing most of the heavy lifting and handling tasks that require large amounts of processing power. The company’s platform software now features AI tools for fighting fraud, analyzing essential business data, and reducing payment friction.
Fraud is a major concern for online casino operators, particularly when it comes to bonus abuse.
Bonus abusers are constantly developing new techniques and tactics to defraud casinos — even more so now that they have access to AI tools. Good deepfakes can potentially even pass liveness checks, and synthetic IDs (fake IDs made of real parts) are difficult to spot.
Slotegrator’s Anti-fraud module has an AI assistant to help operators combat fraud. The assistant provides summaries of real-time situations with just the touch of a button. Operators choose from one of three preset questions: 1. What is the overall risk situation? 2. Which risk categories are currently the most critical? And 3. What should be prioritized right now?
When they choose one of them, the assistant automatically analyzes the relevant data, yields structured conclusions, and makes recommendations for next steps. After you’ve made a selection, the AI assistant instantly processes dashboard metrics and provides a brief summary. The assistant works at both the project and individual level.
“As artificial intelligence becomes commonplace, the companies that integrate AI into core aspects of their business will be the ones that get ahead,” explains Slotegrator COO Olga Ivanchik. “AI is capable of more than automation. Incorporating AI at a strategic level, making it a core part of the business architecture, is the only way to stay competitive in the long run.”
Slotegrator’s platform also has an AI business intelligence module.
The AI BI module not only tracks KPIs such as GGR, unique players, active players, average bet sum, average withdrawal sum, average FD sum, profitability, CPR, and others, but filters and presents them for the chosen period and the particular project. All the data are displayed in convenient and clear tables and diagrams and can be exported as CSV and XLS files for convenience.
Users can segment players and apply bulk actions, depending on whether they need to be encouraged with a bonus or blocked due to risky behavior. Additionally, the module can filter players by affiliate partner ID to see which partner sent them.
Payments always present complex issues. Slotegrator’s Moneygrator simplifies payments by providing a unified infrastructure for managing payment providers in different GEOs.
But the Moneygrator AI bot takes the service to a new level.
The Moneygrator AI Bot automatically processes up to 80% of standard requests that previously required the involvement of an account manager. Instead of studying documentation or waiting for a response, teams receive structured data in minutes, significantly accelerating time-to-market.
ABOUT THE COMPANY
Since 2012, Slotegrator has been one of the iGaming industry’s leading software and business solution providers for online casino and sportsbook operators.
The company’s main focus is software development and support for online casino platforms, as well as the integration of game content and payment systems.
The company works with licensed game developers and offers a vast portfolio of casino content: slots, live casino games, poker, virtual sports, table games, lotteries, casual games, and data feeds for betting.
Slotegrator also provides consulting services in gambling license acquisition and business incorporation.
When everyone has access to AI, the future belongs to those who use it strategically. Slotegrator’s updated platform has a suite of AI-powered tools that do the heavy lifting so clients can focus on strategy and business development.
Suppliers are racing to incorporate AI features. Instead of just keeping up with the hype, Slotegrator updated its platform with a suite of AI tools that help its clients by doing most of the heavy lifting and handling tasks that require large amounts of processing power. The company’s platform software now features AI tools for fighting fraud, analyzing essential business data, and reducing payment friction.
Fraud is a major concern for online casino operators, particularly when it comes to bonus abuse.
Bonus abusers are constantly developing new techniques and tactics to defraud casinos — even more so now that they have access to AI tools. Good deepfakes can potentially even pass liveness checks, and synthetic IDs (fake IDs made of real parts) are difficult to spot.
Slotegrator’s Anti-fraud module has an AI assistant to help operators combat fraud. The assistant provides summaries of real-time situations with just the touch of a button. Operators choose from one of three preset questions: 1. What is the overall risk situation? 2. Which risk categories are currently the most critical? And 3. What should be prioritized right now?
When they choose one of them, the assistant automatically analyzes the relevant data, yields structured conclusions, and makes recommendations for next steps. After you’ve made a selection, the AI assistant instantly processes dashboard metrics and provides a brief summary. The assistant works at both the project and individual level.
“As artificial intelligence becomes commonplace, the companies that integrate AI into core aspects of their business will be the ones that get ahead,” explains Slotegrator COO Olga Ivanchik. “AI is capable of more than automation. Incorporating AI at a strategic level, making it a core part of the business architecture, is the only way to stay competitive in the long run.”
Slotegrator’s platform also has an AI business intelligence module.
The post Slotegrator using AI tools to fight fraud, analyze performance, and smooth payments appeared first on EE Gaming | Global iGaming & Tech Intelligence Hub.
21.com has launched as an online casino and sportsbook, naming industry veteran Michael Carlton as Founder & CEO, the company said on 16 June 2026.
The operator said it is targeting a range of global jurisdictions and plans to differentiate through a “modern technology stack” and “AI-centric operations.” It did not disclose target markets, licensing status, launch territories, or product partners.
Carlton previously served 13 years at EY as a Chartered Accountant before entering gaming in 1997, according to the company. He later spent 17 years as CEO of BetVictor and has since invested in betting and gaming companies.
Carlton said 21.com is being built without legacy platform constraints. “Having started in the gaming industry prior to the launch of the internet and then having the privilege of being involved as the industry evolved and adapted to the opportunities, there is now a further revolution occurring with the power created by embracing AI helping us to move faster and tailor personalised experience to the player.
“One of 21.com’s greatest strengths is that it is being developed for the current market, rather than an after-thought adaptation of an existing one. Many operators have been around for a long time and continue to be defined by legacy platforms and pre-crypto payment customer journeys that existed long before the modern technical tools that exist now became a reality. 21.com has embraced AI to deliver unparalleled customer experiences.
“With a team of industry leading experts with the motivation and ability to achieve our goals but without any legacy systems, 21.com is able to take advantage of new technologies to become a market leader in the gaming industry”.
The company also set aggressive commercial targets. “21.com will be one of the top three operators in every market it operates and in the world within two years,” Carlton said.
The post 21.com launches online casino and sportsbook led by ex-BetVictor CEO Michael Carlton appeared first on EE Gaming | Global iGaming & Tech Intelligence Hub.
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