AI

Should we fear Generative AI?

Published

2 years ago

October 28, 2024

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.

Related Topics:AI ChatGPT Fujitsu latest-news Nik McDonald Senior Account Director at Fujitsu norss PrivateGPT

Up Next

Sporttrade Launches in Virginia

Don't Miss

FullCircl Releases 2025 State of Identify Verification Report

AI

SportVot raises $3.6m to expand sports production platform into Europe, US and West Asia

Published

3 hours ago

May 12, 2026

Wladimir P.

sportvot-raises-$3.6m-to-expand-sports-production-platform-into-europe,-us-and-west-asia

SportVot has raised $3.6m in a new investment round as it plans to expand across Europe, Australia, the United States, and West Asia. The company said the funding will support international growth and further development of its AI-led production and analytics capabilities.

The round was led by Indian Angel Network’s IAN Alpha Fund, with participation from Anicut Capital, SucSeed Indovation Fund, LVX (LetsVenture), Capital-A, and other global investors.

SportVot positions its platform as a unified workflow covering capture, production, distribution, and monetisation for competitions outside top-tier broadcast ecosystems. The company said its cloud-based setup supports remote production in real time and includes automated highlights, graphics, insights, multi-angle viewing, decision review systems, and virtual advertising.

The company lists customers and partners including Junior Super Kings (Chennai Super Kings’ Junior’s Tournament), All India Football Federation, Rugby India, the International Table Tennis Federation (Oceania) and the International Padel Federation. It said that since launching operations in 2025 in Australia it has worked with organisations including Table Tennis Australia, Table Tennis Queensland, Netball Victoria, the National Pickleball League and KommunityTV.

SportVot said it has delivered over 500,000 matches across its core markets, reaching more than 100 million viewers in 30+ countries. In Australia, it said it streamed 12,000 matches over the past year across 30+ partner organisations.

Tim Anderson, Managing Director, SportVot Australia, said: “Over the past year, we’ve seen strong adoption from sports organisations across Australia looking to scale how their competitions are captured and distributed. The ability to deliver consistent, high-quality production across different sports and formats has been key. This next phase allows us to build further on that momentum, both within Australia and in closer alignment with global markets.”

Sidhhant Agarwal, Founder & CEO, SportVot, said: “What we are seeing globally is not a lack of sport, but a lack of structured systems to capture and distribute it at scale. Our focus has been to build something that can work across geographies, sports, and formats without adding operational complexity. As we expand into new markets, the goal is to enable more competitions to be seen, experienced, and sustained.”

The post SportVot raises $3.6m to expand sports production platform into Europe, US and West Asia appeared first on Eastern European Gaming | Global iGaming & Tech Intelligence Hub.

AI

Tugi Tark whitepaper puts AI iGaming support at €0.15 per ticket

Published

6 days ago

May 6, 2026

Wladimir P.

tugi-tark-whitepaper-puts-ai-igaming-support-at-e0.15-per-ticket

Tugi Tark has released a 2026 whitepaper, The economics of AI-powered iGaming customer support, arguing that AI changes the unit economics of player support and can reduce costs compared with human-led operations.

The report cites “verified pricing” of EUR 0.15 per AI-handled ticket. It compares that with fully loaded employer costs for human support in Romania and Bulgaria of EUR 1.73 to EUR 1.88 per ticket. At a “realistic” 70% AI containment rate, the whitepaper claims a blended cost of about EUR 0.67 per ticket, which it describes as roughly a 64% reduction versus a human-only baseline of EUR 1.88.

Tugi Tark says its analysis draws on Eurostat 2024 labour cost data, published research on AI chatbot benchmarks, independent iGaming player behaviour research, and operational data from its own deployments. The company estimates operators can achieve a 55% to 75% reduction in total support expenditure, and argues AI can absorb volume spikes—such as during major sporting events—without additional hiring or training lag.

Harpo Lilja, founder and CEO of TUgi Tark, said: “In 2026, the ‘wait-and-see’ approach to AI is costing operators millions in unnecessary overhead. We aren’t just talking about chatbots; we’re talking about a fundamental shift in the unit economics of player retention.”

The whitepaper also frames customer support as a retention lever, stating that payment issues account for 52% of ticket volume and that slower response times drive churn. It claims a 0.5 percentage point churn reduction could retain an additional 500 players per month for a mid-sized operator, translating to €200,000 in annual revenue based on an assumed €400 Player Lifetime Value. Tugi Tark also claims AI agents average ~7 seconds for first response versus ~60 seconds for human agents, and outlines use cases across Responsible Gambling escalation, KYC/AML workflows, and GDPR-aligned data sovereignty.

The post Tugi Tark whitepaper puts AI iGaming support at €0.15 per ticket appeared first on Eastern European Gaming | Global iGaming & Tech Intelligence Hub.

Africa

BetConstruct AI to present World Cup 2026 sportsbook offer at iGaming Afrika

Published

2 weeks ago

April 30, 2026

Wladimir P.

betconstruct-ai-to-present-world-cup-2026-sportsbook-offer-at-igaming-afrika

Supplier takes Stand A05 in Nairobi on May 4–5, pitching pre-built tournament betting tools and discounted onboarding for new partners.

BetConstruct AI said it will exhibit at iGaming Afrika on May 4–5 in Nairobi, Kenya, at Stand A05.

The company said its main focus at the event will be a “Best Sportsbook for the World Cup 2026” package, supported by “Special Bets, Powerfull and Bet on League.” BetConstruct AI said the tools are designed to help operators run World Cup activations “with zero additional development required.”

For the World Cup activation, the supplier is also advertising commercial incentives for new partners. BetConstruct AI said new partners receive a 65% platform setup discount “applied immediately,” plus “100% Core Suite Access” for the first three months, followed by “65% off for 4-12 months.” It added that third-party tools are “51% off for 3 months.”

Beyond the tournament pitch, BetConstruct AI said it will present its wider iGaming ecosystem, including Sportsbook Platform, Casino Platform, Affiliate Ecosystem, Retail Solutions, and its AI suite. The company said its Sportsbook Platform provides “over 140,000 pre-match events and 12,000+ monthly esports live events,” and that its Casino Platform integrates “350+ providers via a unified aggregation API.”

BetConstruct AI said its AI suite includes CRM AI, Umbrella AI, AI Game Recommendation System, and Betting Mate AI, covering functions such as churn prediction, risk management, real-time personalisation, and conversational betting. It also said its Retail Solutions show how operators can connect land-based and digital channels for an omnichannel setup.

More relevant data as follows:

BetConstruct (official website); https://www.betconstruct.com/ Company reference page for product portfolio and event announcements.
iGaming Afrika (event information); https://igamingafrika.com/ Confirms dates, location, and exhibitor details for the conference.
FIFA World Cup 2026 (official site); https://www.fifa.com/fifaplus/en/tournaments/mens/worldcup/canadamexicousa2026 Authoritative background on the tournament referenced in the supplier’s activation pitch.

The post BetConstruct AI to present World Cup 2026 sportsbook offer at iGaming Afrika appeared first on Eastern European Gaming | Global iGaming & Tech Intelligence Hub.