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RG24seven Virtual Training Collaborates with AI Experts to Expand Responsible Gaming Courses

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RG24seven Virtual Training, the industry-leading and free video-based training platform for Tribal and commercial gaming employees, is pleased to offer an exclusive Artificial Intelligence (AI) course presented by Better Change and Mindway AI. The course was first announced during the premiere episode of TALK 24 highlighting the future of AI in Responsible Gaming. The new course will introduce gambling industry employees to the role AI can play in Responsible Gaming initiatives and the gambling industry as a whole.

Wendy Anderson, CEO of RG24seven Virtual Training, said, “Our new AI course aims to enhance RG24seven’s existing Responsible Gaming and Safer Gambling content, introducing new perspectives and insight that align with the latest developments in the field. As part of the fast-growing software company operating science-based solutions, Niamh Gallagher from Mindway AI, presents these courses with a deep understanding of AI.”

Gallagher added, “Promoting responsible gambling is a shared responsibility; our commitment to this training is rooted in collaboration. The gaming industry must be aware of the ethical responsibilities that come with the advancements in AI and ensure that it is used transparently, with clear and ethical guidelines in place to support Responsible Gambling behaviors. Simply taking this course helps gaming employees understand the basics of AI and the critical role it can play when used responsibly.”

Victoria Reed, CEO of Better Change and Strategic Advisor for RG24seven, concluded, “The future of AI in the gaming industry is still being written. It’s not just about the technology itself but it’s about how we choose to use it. AI in the hands of people who are committed to ethics and responsibility, has the potential to be a game-changer for player protection and industry integrity. It’s a future we’re working hard to build and it’s one we believe will benefit everyone involved, which is why we are proud to offer this new course in both the U.S. and the U.K.”

The post RG24seven Virtual Training Collaborates with AI Experts to Expand Responsible Gaming Courses appeared first on Gaming and Gambling Industry in the Americas.

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EveryMatrix launches Bonus Guardian to stamp out bonus abuse with AI precision

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EveryMatrix has launched Bonus Guardian, a next-generation AI-powered tool designed to help iGaming operators identify and prevent bonus abuse – one of the industry’s most damaging and rapidly-evolving fraud types.

Developed as part of EveryMatrix’s BonusEngine and EngageSuite stack, Bonus Guardian allows operators to maximise ROI on marketing spend by detecting fraudulent player behaviour before it impacts margins.

The solution uses AI and machine learning to continuously analyse player activity, adapt to new abuse tactics, and apply role-based responses such as bonus exclusion and withdrawal holds.

This ensures legitimate players continue to enjoy a seamless experience without restrictions and limitations, while abusers are stopped in their tracks.

Bonus abuse accounts for more than 63% of all detected fraud according to recent industry data. Fraudsters are increasingly using AI, automation, and synthetic identities to exploit promotional offers, while traditional, rule-based systems have struggled to keep pace.

Operators must also maintain friction-free onboarding and engaging rewards to stay competitive.

Bonus Guardian addresses this directly, offering a context-aware solution that can be integrated with operators’ systems, such as payment processing and player account. Unlike generic anti-fraud platforms, it is designed specifically for bonus abuse scenarios.

It continuously learns from real-time player data, reducing manual workload and false positives, helping operators:

  • Prevent revenue loss by flagging and stopping bonus abuse early
  • Improve segmentation accuracy and player lifetime value
  • Reduce operational friction with intelligent, role-based fraud controls
  • Futureproof operations against evolving fraud mechanisms such as deepfakes, AI-generated accounts, and coordinated abuse rings

Stian Enger, Head of Casino, EveryMatrix, said: “Everyone in iGaming knows about the battle between fraudsters and anti-fraud prevention tools. Each side wants to get ahead of the other, but with Bonus Guardian, we strongly believe we have a definite edge.

“Bonus Guardian is not just another fraud filter. It is a living shield that adapts to everything that is thrown at it thanks to the power of AI.”

The post EveryMatrix launches Bonus Guardian to stamp out bonus abuse with AI precision appeared first on European Gaming Industry News.

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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.

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Xtremepush’s CRM Services Integrated into EveryMatrix Platform

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EveryMatrix global customers now equipped with seamless access to award-winning loyalty and gamification offering

Xtremepush, the leading provider of CRM and loyalty marketing powered by AI, has announced its latest tier one partnership, having agreed a deal to provide acclaimed igaming provider EveryMatrix with its award-winning CRM and loyalty marketing services.

EveryMatrix, leveraging Xtremepush’s varied product suite, will now be able to offer its customers real-time, hyper-personalised CRM and gamification capabilities via its proprietary platform, helping them to drive engagement, increase loyalty, and maximise the lifetime value of all player types in a seamless manner.

Xtremepush leads the market in its unified, holistic approach to data collection, with its Single Customer View built to extract data from all sources in true real-time, providing an individual view of players to deliver a higher standard of omni-channel personalisation and messaging. Coupled with a gamification engine and AI-powered automation and data insights, operators will be able to leverage these revenue-driving tools via their existing integration with EveryMatrix.

Tommy Kearns, CEO and co-founder at Xtremepush, said of the partnership: “EveryMatrix has built a well-earned reputation for being a provider of best-in-class sports betting and gaming solutions for its operator partners, and we’re pleased to bolster their software and services with our first-rate CRM and loyalty solutions.

“Regulated markets are hugely competitive and Xtremepush has proven its worth in optimising and scaling customer’s loyalty engines and processes in these environments to realise greater engagement and ensure maximum lifetime value of players. We’re very confident that we’ll showcase this once again with EveryMatrix, via its clients, and to make them another customer for life.”

Kevin Furlong, Chief Product Officer, EveryMatrix, said: “Alongside our advanced turnkey platform technologies we have always partnered with best-in-class third-party suppliers such as Xtremepush providing added value to our customers.

“Combining our market-leading gaming infrastructure with Xtremepush’s powerful CRM technology will enable our customers to better understand their players, offer them even more personalised experiences and boost loyalty levels to name just a few benefits.”

Following a successful launch phase with EveryMatrix, Xtremepush will make additional services available to the supplier, including its Agentic AI, which will supercharge marketing processes with intent and iteration, allowing related teams to focus on broader strategy and value-driven projects.

The post Xtremepush’s CRM Services Integrated into EveryMatrix Platform appeared first on European Gaming Industry News.

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