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.
The company says it will show five modules covering RGS, PAM, payments, affiliates and an AI ops assistant at ExCeL London on 1–2 July.
Digicode will exhibit at iGB L!VE London 2026 on July 1–2 at ExCeL London, where it plans to showcase its Diger Suite modular iGaming technology ecosystem.
The company said the Diger Suite is built to help operators integrate multiple technology partners while maintaining player experience, compliance workflows and operational agility as they expand into regulated markets.
Digicode’s product lineup at the show includes DigerRGS (remote game server for launching, distributing and managing content across jurisdictions), DigerPAM (player account management covering player operations, compliance and responsible gaming controls), and DigerPay (payment orchestration supporting local payment methods and regulatory requirements).
It will also present DigerClick, an affiliate management platform with tracking, partner management, commission automation and analytics, plus DigerCompanion, described as an AI-powered operational assistant for automating customer support and internal workflows.
Digicode said its team will use the event to meet operators, game providers, affiliates and technology partners to discuss platform interoperability, modernization of legacy systems, and approaches to reducing vendor lock-in through modular integrations.
The post Digicode to demo Diger Suite iGaming stack at iGB L!VE London 2026 appeared first on EE Gaming | Global iGaming & Tech Intelligence Hub.
Supplier will exhibit at Stand S60 in London on July 1–2, with sportsbook, AI suite and prediction-market products on show.
BetConstruct AI will attend iGB L!VE 2026 on July 1–2 in London, UK, exhibiting at Stand S60.
The company said its stand will focus on operator tooling for the 2026 FIFA World Cup, positioning what it calls the “Best Sportsbook for the 2026 World Cup” and related engagement and tournament-readiness features aimed at real-time performance during the event.
Alongside the World Cup focus, BetConstruct AI said it will showcase its Sportsbook Platform, Casino Platform and AI Suite, including CRM AI, Umbrella AI, AI Game Recommendation System, Betting Mate AI and BetChain AI. It also plans to present its Affiliate Ecosystem, covering player engagement, retention, risk management and acquisition.
BetConstruct AI will also demo Eventbook, a prediction market product built around real-world events including politics and major sports tournaments. The company said it has partnered with ADI Predictstreet, described as FIFA’s Official Prediction Market Partner, integrating ADI Predictstreet’s prediction-market solutions and official match streaming rights into its platform.
The press release also stated that new partners will be able to access “exclusive commercial terms on setup,” but did not disclose pricing or eligibility details.
The post BetConstruct AI confirms iGB L!VE 2026 presence, focuses on World Cup tools appeared first on EE Gaming | Global iGaming & Tech Intelligence Hub.
Online casino and iGaming developer MadMen is marking its 10th anniversary this year, reflecting a decade of technology work for operators in regulated and emerging markets.
Founded in 2016, MadMen said it began in B2C before moving to a B2B model. The company now provides front-end and back-end development for iGaming operators, spanning brand launches, platform integrations, market expansions, and bespoke product work.
MadMen said it works with established operators, challenger brands, and land-based casinos moving online, and highlighted supplier relationships including its Official Gold Partner status with EveryMatrix (2022) and a partnership with Omega Systems (2024).
Since its first major B2B project in 2021, the company said it has delivered more than 35 custom solutions for operators worldwide and launched its first US sweepstakes project in 2025.
Commenting on the milestone, Michel Groenendijk, co-founder of MadMen, said: “We’ve been fortunate to spend the last decade working in an industry that has changed significantly in a relatively short space of time.
“Since we started, we’ve seen major regulatory developments across multiple markets, the growth of cryptocurrency, the emergence of sweepstakes models, and, more recently, the rapid rise of artificial intelligence. At the same time, operators have become increasingly focused on specific audiences and territories.
“Launching and growing an iGaming business today involves far more than developing a website. Payment integrations, compliance requirements, supplier relationships, and platform infrastructure all need to work together seamlessly, and our role is to help operators navigate that complexity. It’s a common misconception that once you have a fully functioning product, success is guaranteed, but in reality, the tech side is only one part of the equation. A deep understanding of the industry, proper relationships with suppliers, and years of experience are all essential for achieving success, which is why clients choose to work with a business like ours.
“Looking ahead, we see significant opportunities in areas such as AI-driven development, testing, and player engagement. Our focus will remain on helping operators adapt to new technologies and market requirements while bringing ambitious projects to market practically and sustainably.
“By embedding AI into our delivery and product development processes, we can significantly reduce the time required to deliver solutions for both new and existing clients, allowing us to take on more projects of a larger size, as well as spend more time allowing our expert team to experiment with new features.
“It’s worth noting that whilst AI has its place within the company, there’s still plenty that it’s not able to automate. This is where our experience shines, managing different pipelines across different teams to keep everything aligned and integrated into the final product.
“We’re grateful to our team and clients who have been part of our journey over the last ten years.”
The post MadMen marks 10 years as iGaming development supplier appeared first on EE Gaming | Global iGaming & Tech Intelligence Hub.
-
10bet6 days agoEllis Park Stadium signs five-year naming rights deal with 10bet
-
central asia6 days ago
Groove confirms attendance at SBC Summit Tbilisi 2026
-
Bucharest5 days ago
Eeze opens 1,200 sqm Bucharest hub for technical teams
-
API integration5 days ago
Belatra signs cooperation deal to distribute slots via VeliGames
-
AB Trav och Galopp4 days ago
BetMakers Technology Group Selected to Distribute ATG Horse Racing Content Across Australia and New Zealand
-
Aviator5 days ago
Pernambuco court revokes Spribe’s interim relief in Aviator trademark dispute
-
game content5 days ago
R. Franco Digital releases fighting game-themed slot Spin Fighters
-
affiliate marketing6 days ago
SEOBROTHERS’ Aleksandra Drigo flags higher barriers for affiliates in regulated Alberta
