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Exploring the Metaverse and AI’s role in it

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Reading Time: 6 minutes

 

with modl.ai’s CEO & Co-founder Christoffer Holmgård

  1. How do you define a metaverse?

The metaverse is a challenging thing to define, partly because it’s such an abstract concept, but also as no one has created one yet – so the exact scope of what we’re talking about is a bit blurry. To define the Metaverse, it makes sense to look to fiction, where the term was originally coined. In Neal Stephenson’s Snow Crash, the Metaverse is a digital, online universe, perceived from a first-person perspective, that exists independently of whether you are logged into it or not. It’s a persistent place that you can access, change, leave, and return to.

There’s a myriad of possible definitions, but there are common threads between them. The metaverse could be defined as a multi-user real-time virtual space where individuals around the world can connect via a network, co-exist and socialise. Many games and platforms exist already that could fit this description, but what sets apart the metaverse from a traditional multiplayer experience is the ability for players to create and share content to shape the world around them in a more or less persistent setting.

  1. When do you think the first Metaverse will be created?

Some think we’ve already arrived, others think the metaverse will be far grander in scale. If you look at your gaming library today, examples that resemble metaverses will instantly jump out at you in the shape of Minecraft, Dreams, Fall Guys, Roblox and Fortnite. For many people, these titles are no longer considered games but persistent spaces to connect and socialise through virtual experiences – that may or may not include gaming.

Historically, the gaming industry has seen many forms of the metaverse since its inception. World of Warcraft has had its own functioning virtual and digital metaverse in the form of a digital and virtual economy for decades. Second Life is another early example that partly fits the bill, and EVE Online in particular stands out as a persistent universe shared between all the players where large organizations and even an economy have sprung up. Looking even further back, the early Multi-User Dungeons of the 1970s – or MUDs – might be considered proto-metaverses without graphics. Each of these examples contain different characteristics that define the Metaverse, even if they didn’t manage to achieve them all.

  1. How are you seeing the metaverse trend being reflected in the industry right now?

We’re seeing a drive across the games industry toward creating platforms for Metaverse-like experiences. Using either existing technologies or games, and even building new ones. The trend has been going on for quite some years, but it seems we’re reaching a point where the idea of Metaverses is coming together for both players and large industry actors. What’s more, the global pandemic has undoubtedly accelerated some of these trends that were already underway.

Fortnite, Roblox, and other big titles have slowly evolved from games to online spaces where people can interact and spend virtual currency on in-game items to build relationships and experience something fun and unique. Elsewhere, the trend continues thanks to games like Fortnite, which continues to develop more virtual experiences like its famous concerts. What’s more, Fortnite’s publisher, EPIC Games, recently raised $1 billion to support its future vision to build the metaverse.

With nearly 40 million daily users, the online gaming platform Roblox has become an incredibly popular online community. The game allows its users near-limitless possibilities to create, buy and sell, customise and socialise. What’s more, Roblox no longer calls itself a game on its website anymore; instead, it’s now an experience.

In essence, it’s a collection of semi-persistent spaces created by players using the same foundational tools and protocols. They make their spaces uniquely their own by changing and expanding templates and customising them in creative ways that no single game development company could come up with on their own.

Developers who have created popular interactive virtual social spaces have realised the earning potential behind their ‘games within a game’. So the race to perfect the metaverse model is on!

Many believe the metaverse is the next logical evolution of the internet, so it’s easy to see why so many big industry players are racing to stake their claim and take as big a piece of the pie as possible. So much so that even the country of South Korea has begun laying the foundation for its metaverse, as it recently created an alliance between 17 of the country’s industry-leading tech companies. Most recently, Facebook came out and declared itself a contributor to bringing about the Metaverse.

There is currently no single metaverse, but given the recent boom in brand collaborations and cross-platform play, in the future, we may see several of them become interoperable or meld together in a shared vast universe. But the biggest hurdle will still remain getting companies to look past their own interests to drive inter-organisational collaboration.

  1. What do you think will be some of the main hurdles in establishing the first metaverse?

Creating a metaverse is one thing, but keeping players engaged and returning to this new frontier is another. Gaming professionals need to understand what motivates players to contribute and come back to these virtual spaces. The key lies in understanding player behaviour. It may sound obvious, but measuring the way a given player moves through and interacts with a virtual space is a great way to gauge their interests. Their interactions, however seemingly insignificant, reveal the player’s preferences from moment to moment.

Understanding a player within the metaverse could be reached by manually picking and studying the individual user, but this approach quickly becomes unfeasible at scale. Alternatively, one can sample representative users, but this form of user research is time-consuming, expensive, and doesn’t pinpoint accuracy at the individual player level. This is where artificial intelligence can help.

  1. What role will AI play in the metaverse?

Put simply, publishers need their players to return, continue investing, and growing with the environment itself. Tools such as AI that learns from and understands the audience could be the key to growing the metaverse as the game industry’s next frontier.

Today we’re already seeing how AI can assist in daily work, assisting with checking, testing, coding, or even generating whole segments of stories automatically. As more people become digital content creators, we expect AI to take a role as a creative assistant working next to human creators, automating boring, repetitive or difficult tasks that are part of the creation process. AI systems will learn from prior examples and patterns in the Metaverse and use the learnt information to assist with new creative processes.

An additional way in which AI will be significant in the Metaverse is that AI systems will get to know you over time and shape your experience of the Metaverse accordingly. A quality of digital universes is that they, by their nature, allow for the observation of just about everything that goes on in them. One method that can help developers understand their players is by recording their behaviour at the action level and using it to create AI Personas – which are essentially models of the players in parts of the metaverse. By first logging and replicating player behaviour, AI Personas can predict how certain players or groups would act, and by extension, what that means in terms of interests, motivations, and preferences.

These predictions can then be used to tailor and adapt the player’s experience with the most engaging content and interactions at the individual level. You could imagine having an AI system that puts together or even generates content and experiences that are tailored just for you.

It even opens the opportunity for you to leave behind imprints of yourself when you’re not signed into the Metaverse. Some video games already offer a version of this today – for instance Forza Motorsport has Drivatars: AI drivers that drive in your style, that your friends can race against if you’re not online to compete. Perhaps, in the future, we’ll have our own AI doubles or assistants filling in for us in the Metaverse, when we’re not around to play.

This idea is really an extension of character customisation, which has become a cornerstone of modern gaming. Epic Games understood early on how character customisation and avatar expression attracted players away from competing titles such as PlayerUnknown’s Battlegrounds. Licensing pop-culture avatars was key to keeping people within the Fortnite metaverse. Interest amongst players is always high because there’s a chance for them to wield a lightsaber one week then wear the infinity gauntlet as Thanos the next.

This level of avatar detail and customisation, and the ability for users to express themselves in new and exciting ways, will potentially be the cornerstone of any successful future metaverse project as players use this as a form of expression.

But as games continue to increase in scope and attract more players to log on, manually managing these virtual worlds becomes much less feasible – especially in the context of a metaverse. So you can quickly see where AI fits into the equation.

From generating digital environments, shaping more realistic AI character behaviours to automated bug finding, the potential applications for artificial intelligence will be near-limitless. With regards to the Metaverse, whatever final form it takes, I believe artificial intelligence will be vital in realising projects of this scale.

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Portrait of a Fraudster Then and Now: How Scammers’ Habits and Tactics Are Changing

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Fraud in the iGaming sector is no longer the work of lone opportunists. Today’s scammers operate in well-organized, tech-savvy networks – quietly exploiting systems that weren’t built to catch them. And as the digital economy grows, so too does the complexity of fraud schemes targeting gaming operators.

Amid this evolving threat landscape, Frogo has emerged as a  company redefining how fraud prevention should work. We spoke with Volodymyr Todurov, CEO at Frogo, to get an inside look at how fraudsters are changing their tactics – and what operators can do to stay ahead.

 

Fraudsters evolve fast – how does your system stay one step ahead without overwhelming teams with false alarms?

Absolutely, the landscape of fraud is constantly shifting and staying ahead requires more than static rules. At Frogo, we’ve developed a dynamic system that adapts in real-time to user behavior and transaction contexts. Our platform learns from both fraudulent and legitimate activities, enabling it to distinguish between the two more effectively. This approach reduces false positives and ensures that our clients’ teams can focus on genuine threats without being bogged down by unnecessary alerts.

 

Can you walk us through a real-world case where your platform uncovered a fraud scheme traditional tools missed?

Absolutely. One notable case involved a large-scale bot attack targeting SMS-based fraud vectors. Initially, our standard device ID-based defenses helped neutralize the first wave of the attack. However, the adversaries quickly adapted, altering their emulation tactics to bypass traditional checks. At that point, conventional methods were no longer sufficient to detect the evolving fraud.

We responded by implementing a dynamic anomaly detection framework. This involved redefining detection signals in real-time using IP intelligence and deep device fingerprint attributes – areas where our proprietary data collection algorithms provided a significant edge. By anchoring detection logic to more granular and resilient signals, we were able to recalibrate thresholds dynamically, ensuring legitimate users weren’t impacted.

The results were decisive: bot attack efficiency dropped sharply from over 80% to just 3.5%.

 

What’s something about fraud detection that most businesses get wrong? And how does Frogo challenge that?

A common pitfall we see is operational rigidity – many businesses rely on static rules and general-purpose triggers that result in high false positive rates. This not only burdens anti-fraud teams with unnecessary manual reviews but also degrades the experience for legitimate users, especially loyal or VIP customers.

For example, it’s typical to see blanket rules like “manually verify all payouts over X euros.” While that may seem prudent, in reality it’s inefficient. It overlooks low-value, high-frequency fraud – such as bonus abuse – and disproportionately flags legitimate high-value players.

At Frogo, we take a different approach. Our system adapts rules dynamically based on customer behavior and segmentation. A trusted VIP user with a long-standing reputation shouldn’t be reviewed multiple times a day. But if a wave of new €5 accounts starts exhibiting bonus-hunting behavior, they should run immediate scrutiny – regardless of transaction size.

By aligning detection logic with behavioral context and player reputation, we reduce noise, increase fraud catch rates, and protect real users from unnecessary friction.

 

How does Frogo automate risk logic without sacrificing the flexibility businesses need to reflect their unique policies and traffic patterns?

At Frogo, we don’t see automation and customization as opposing forces – they operate in different dimensions. Our focus is on automating the customization of risk and scoring policies in a way that respects each client’s specific risk appetite and user behavior.

We achieve this through dynamic triggers. Rather than hardcoding arbitrary rules – like “five failed top-ups per minute equals fraud” – we apply adaptive scoring thresholds that align with real-world usage patterns.. For example, our system might detect that, for a certain payment method and user segment, more than 1.3 failed top-ups per minute is statistically anomalous – because it exceeds the 98th percentile of historical behavior.

But that same trigger adjusts automatically. If the next day a payment provider experiences a technical issue and normal users start retrying more often, the threshold might shift to 2.7. What was anomalous yesterday may no longer be today – and our system adapts accordingly to reflect evolving traffic patterns.

As a result: the clients retain full control over their risk strategy, while Frogo ensures their policies scale efficiently, adapt in real time, and minimize false positives – even in volatile traffic conditions.

 

Beyond detection – how does Frogo help companies investigate and understand fraud at a strategic level?

Detection is just the beginning. Frogo’s graph-based forensic tools and AI models provide a comprehensive view of the relationships between accounts, transactions and behaviors. This allows companies to identify patterns and vulnerabilities that might not be apparent through traditional analysis. Our analytics layer offers insights into trends and forecasts, enabling businesses to understand the broader context of fraudulent activities and make informed strategic decisions to mitigate future risks.

Fraud might be getting smarter, but so are the solutions built to fight it. Platforms like Frogo are helping operators move beyond reactive security measures and into a space of strategic, data-informed defense. In an industry where trust is everything, that shift might just be the difference between staying one step ahead – or falling behind.



Disclaimer:
Frogo’s fraud prevention solutions are developed in full compliance with applicable data protection laws, including GDPR. All behavioural analysis is performed on anonymised or aggregated data, with full transparency and control provided to our clients.

The post Portrait of a Fraudster Then and Now: How Scammers’ Habits and Tactics Are Changing appeared first on European Gaming Industry News.

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Inside the Matrix: A Conversation with EveryMatrix Founders on Europe, Expansion, and Staying Hands-On

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By Maria Emma Arnidou, Event Marketing Director at HIPTHER, for the European Gaming Media

During the recent EveryMatrix Media Day at the company’s opening of their new London office, Co-Founders Ebbe Groes (CEO) and Stian Hornsletten sat down with press to share key insights into their strategic vision. In this exclusive Q&A, we explore their views on the European Market, the evolution of EveryMatrix’s business model, leadership philosophy, and the company’s experience in the ever-evolving U.S. market.

Europe is filled with local heroes. It’s far more fragmented than most people think.

 

You discussed emerging markets in your presentation. What about Europe – is it considered saturated, or are there still areas of growth?

Ebbe Groes: I really don’t think Europe is saturated at all. In fact, big parts of it are still underdeveloped. Take France for example, it doesn’t allow online casino. Germany has effectively banned it. That’s two of Europe’s three largest economies where casino is either outlawed or nearly impossible. So yes, there is still plenty of room for growth.

Stian Hornsletten: And the market is getting more concentrated around a few bigger players, but even then, it’s not as centralized as in the U.S.

Ebbe Groes: Exactly. Europe is filled with local heroes. You won’t find many players dominating across the board. Kindred, Betsson – they’re strong, but when you go country by country and look at market share, the picture is very fragmented. Even with the economies of scale in marketing – say you sponsor a Premier League team – you’re still not getting the full return unless you’re present across multiple markets. That’s what makes Europe so different from the U.S., where a few big players hold all the cards.

We started with a sportsbook. Now we’re building an ecosystem.

 

EveryMatrix today operates across multiple verticals with a deeply diversified portfolio. Was this the vision from the start, or did it evolve as the company grew?

Stian Hornsletten: The vision definitely evolved quickly as we grew. We started with OddsMatrix, a B2B sportsbook product that was meant to be an off-the-shelf, managed solution – something that didn’t exist back then. Within a year, we had already expanded into turnkey and PAM solutions. By 2010–2011, we had launched the CasinoEngine and started specializing in product verticals.

We’ve always been very innovation-driven. We keep developing new products – some of which are still under wraps – and R&D remains one of the most exciting parts of what we do. Today, most of our top 10 clients are turnkey. While we still offer standalone modules, our growth has come from cross-vertical synergy.

 

Despite this scale and complexity, you both remain deeply involved in the company’s day-to-day operations. How do you manage to stay on top of everything across products, people, and processes?

Ebbe Groes: It helps that we’ve been here from the start. I wouldn’t want to be hired into this role now and try to learn everything from scratch – but I’ve had 18 years to absorb it all. We’ve built the company in a way that each vertical operates almost like its own business. For example, the sports division has its own CTO, product team, trading team, and even its own support function. That independence gives us breathing room.

It allows me to focus on high-level strategy, like acquisitions – take FSB, for instance. That required a lot of focus at the start, but eventually it will transition into the core business and require less direct involvement.

Stian Hornsletten: Over the years, we’ve also developed strong planning, reporting, and KPI structures across the business. That consistency makes it easier to monitor everything and integrate new divisions. Whether we open a new office or onboard a new team, we already have the systems in place to support them.

Ebbe Groes: And the same goes for finance and HR. When we opened the London office, the HR team already knew how to handle it – we’d opened three the year before. That kind of maturity allows us to move fast without creating chaos.

“In Europe we have 150 competitors in content; in the U.S., maybe 10.”

 

And what about the U.S. – a market many see as the holy grail of iGaming? What’s your current position there?

Ebbe Groes: To be honest, the U.S. was a tough lesson. We entered hoping to provide a full turnkey solution, but the market didn’t evolve the way we expected. Many well-funded B2C operators pulled out, and that left little demand for companies like us to offer the full stack. We pivoted to focus on one thing: our own gaming content.

Stian Hornsletten: We’re now live in four out of five regulated U.S. states for our own content, and we have agreements with all the major operators. Some new games from SlotMatrix are set to launch by summer, and they’ve already shown strong performance elsewhere – which gives us hope. If we manage to capture even 1–2% market share with our own content, that would already be meaningful.

But it’s been a long and costly process. Every state has its own regulatory requirements, separate hosting, and certification needs. And if one state’s not ready, operators won’t promote your games nationally. It’s frustrating, but it also reduces competition. In Europe we have 150 competitors in content; in the U.S., maybe 10. So if we can endure, there’s long-term potential.

The post Inside the Matrix: A Conversation with EveryMatrix Founders on Europe, Expansion, and Staying Hands-On appeared first on European Gaming Industry News.

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Review Fatigue Is Real: How to Make Casino Comparisons Clear, Honest, and Huma

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Sebastian Jarosch is the founder of Mithrillium Media Ltd, and a very famous figure in the iGaming industry. His contributions to the market have been immensely influential. Jarosch has overlooked several projects relating to the online gambling market, most notably those involving affiliates. Because of his past works, we believe he is uniquely qualified to address the topic of Review Fatigue, that seem to be plaguing the industry right now.

Actions speak louder than words. And Jarosch’s actions have earned him several of the most notable industry awards. Among the most notable are the Casinomeister 2020 Awards for Best Casino Group, the AskGamblers Awards for Best Partner in 2021, and the Affpapa Awards Affiliate Programme of the Year 2022.

Interview Questions:

What is “review fatigue,” and why do you think it’s becoming a growing issue in the iGaming space?

Review fatigue happens when players are faced with repetitive, overly long, or generic content. With so many casinos offering similar bonuses, games, and licensing, users quickly lose interest if every review sounds the same. Many reviews lack real insight and simply list features without context, often sounding too good to be true. As a result, players tend to skim or move on entirely, especially if they’ve already seen the same structure and wording on multiple other sites.

How can overly technical or overly promotional content alienate users instead of helping them?

When content is too technical, it can confuse or intimidate newcomers. Ideally content is educational and written with the player in mind. On the flip side, a sales pitch feels dishonest, especially to experienced players who know what to look for. Users are looking for clarity and guidance, not marketing sugar coated casinos. If a review sounds like it’s trying to sell rather than help, it erodes trust immediately. Players want transparency, real pros and cons, not just buzzwords.

What are the most important things players want to see in a casino comparison, and what can we safely leave out?

Players want to know the promotions, payment methods, withdrawal speeds, licensing, game variety, and reliability of a casino. They also care about things like support quality, KYC, ownership, RTPs, and real player feedback. What they don’t want is generic content that could apply to any casino and offers no real value. Sites like Casino-Groups help players pick the right casinos based on individual preferences.

How do you balance clarity with completeness when writing or designing reviews?

It’s all about prioritizing information and guiding the reader. We aim to answer the most important user questions right at the beginning, often using summary tables to make things easier to digest. More detailed information comes later for those who want to dive deeper. It’s important to avoid walls of text and explain complex terms in plain language. The goal is to give users exactly what they need to know, without bombarding them with unnecessary information.

Do players trust shorter, more digestible content more than long-form reviews today? Why or why not

Shorter content tends to convert better because users find what they’re looking for quickly, without digging through long paragraphs full of filler. Dense, meaningful content with no waste often performs best. A short, clear, and well-structured review can build more trust than a long one filled with fluff. That said, some players do enjoy longer reviews, especially when they’re broken up with visuals, clear sections, and genuinely useful insights.

What role does tone of voice play in making reviews feel more human and less “salesy”?

A review should feel like it’s written by a real person who’s an expert in the field, not by ChatGPT or a salesperson. We use conversational language where possible and speak directly to the user. If something’s bad or a bonus is just average, it needs to be mentioned. That kind of honesty builds far more credibility than flashy design or empty buzzwords.

How do you verify and present information (e.g., licensing, terms, payment speed) in a way that’s both accurate and user-friendly?

We manually verify everything by signing up, testing support, and reading the fine print. We also check licenses through official registries and monitor user feedback on watchdog sites. To present the information clearly, we use tables, lists, screenshots, and both internal and external links to relevant pages. All our reviews follow a consistent format so players know what to expect and can easily find the details they need.

Have you experimented with visual elements like comparison tables, badges, or rating meters to reduce cognitive load?

Pictures speak a thousand words and help break up content into smaller, more digestible sections, reducing review fatigue. We use comparison tables for things like bonus terms, game selection, and payment methods. Every review includes a rating, and we apply badges to highlight our top casinos. This makes it easier for users to compare options at a glance and make smarter decisions with less effort.

What strategies do you use to keep review formats consistent while still personalizing the experience for different user types?

We follow a consistent structure that works well for both SEO and conversions. However, if a specific area needs emphasis or additional context, we’re happy to deviate from our standard format to ensure topical completeness. Some casinos offer unique features that deserve extra attention, and in those cases, we’ll add dedicated sections. The framework is consistent, but we stay flexible where it counts.

Looking ahead, how do you think casino reviews will evolve to meet changing user expectations and attention spans?

We’ll see more interactivity, personalization, and smarter use of data. Reviews could adapt in real time based on user preferences, highlighting crypto options for one user and game selection for another. AI chatbots may help users find the best match and answer questions about a casino instantly. Integration with platforms like Discord or Telegram where players can exchange themselves could also make reviews feel more social and trustworthy. Reviews need to become sharper, more authentic, and more genuinely helpful than ever before.

The post Review Fatigue Is Real: How to Make Casino Comparisons Clear, Honest, and Huma appeared first on Gaming and Gambling Industry in the Americas.

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