AI
Should we fear Generative AI?
Nik McDonald, Senior Account Director at Fujitsu, says absolutely not but that it does come with some risks and drawbacks that organisations should be aware of.
What makes AI such a hot topic across the industry right now?
Operators and suppliers have come to understand that artificial intelligence can have a seismic impact on their businesses, whether that be streamlining internal processes or improving the solutions, tools, services and experiences they provide to their customers. But as the understanding of AI has deepened, so too has the awareness that the impact AI has can be both positive and negative. This has ultimately left some organisations nervous and unsure how to approach it, let alone integrate it into their workflows, services and products. And this is why it’s become a hot topic, with stakeholders across the sector keen to learn more about it.
Is there a certain type of AI that’s best suited to this industry? If so, what makes this type of AI such a good fit?
There are several types of AI including Narrow AI, General AI, Super AI, Reactive Machines, Limited Memory, Theory of Mind and Self Aware. The category most are interested in is Narrow AI and in particular, Generative AI – this is AI that can create new data including texts, images and videos by learning the structure and patterns of its training data to generate new ideas with similar characteristics. It can be trained to understand human language, programming language, art, chemistry, biology, law and countless other complex subjects and is often powered by Large AI models, often referred to as foundation models. This means Generative AI can perform a wide range of tasks including summarisation, classification and answering queries. This scope is what makes it ideally suited to businesses in this industry, regardless of whether they have a B2B or B2C focus.
Can you give a real-world example of Generative AI?
ChatGPT is the most famous example. It’s essentially a chatbot that runs on the foundation of large language models, trained on vast amounts of data to produce texts that humans understand. Users ask a question and ChatGPT breaks down the query into smaller components to analyse their meaning and determine what the user is really asking it to do. It then returns the words and sentences it thinks best answer the query based on the data it’s been trained on. It’s pretty cool, but it does have some drawbacks and risks to be aware of.
Could you explain some of these drawbacks and risks?
The accuracy of results is a big concern, as is inconsistent outputs, bias, lack of explainability and even threats to privacy, security and intellectual property. People often forget that ChatGPT is a public service and that as well as sharing information, it consumes it. This means users must approach with caution if using it in the workplace or to ask questions about proprietary and sensitive information and data. Users also need to cross-check the answers that are provided to their queries given the inaccuracies and biases it can have.
Does this mean Generative AI should be feared?
Not at all. Organisations should embrace the power of Generative AI and the clear benefits it can bring to their operations. We are already seeing companies use it, whether that be a slot studio harnessing its creativity to come up with new game concepts, designs, animations and even mechanics, to compliance platforms that use it to spot patterns in player behaviour. This sector has always been at the cutting edge, and I would include operators and suppliers to push the boundaries of AI but just to be mindful of some of the risks it presents.
How has Fujitsu approached Generative AI?
We have been busy developing a chatbot that’s similar to ChatGPT but that organisations can use with confidence. Instead of using publicly available data, it sits on top of the company’s data warehouse and allows teams and employees to ask questions and queries and have answers generated based on the proprietary data the foundation models have been fed on. Data can be siloed within the warehouse and with different levels of permission granted to different employees and teams. With our PrivateGPT, companies can really benefit from the power of Generative AI but with confidence that data is safe, secure and private, that responses are accurate and unbiased, and that the right level of permission is granted to individual employees.
Can you give an example of how organisations can use your PrivateGPT?
Our PrivateGPT has lots of use cases including being able to ask any question, chat with company data, find new answers and insights, foster deeper collaboration, jointly generate insight and evaluate results and develop decision support systems. Specifically, it might be a legal and compliance team wanting to ask a question about a previous market entry and a specific legal requirement, or it might even be to offer a consumer-facing tool where bettors can see how a team or player had performed across historic bet outcomes. This is what makes Generative AI so exciting and why it will continue to be a hot topic for some time to come.
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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