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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.
Olympia Gaming, the developer of Casino Fandango in Carson City, NV and Legends Bay Casino in Sparks, NV and Quick Custom Intelligence (QCI) today announced the rollout of mobile apps, LB Rewards and CF Rewards. With this launch, Olympia Gaming becomes the first operator in Northern Nevada to deliver the QCI Player App, setting a new regional standard for real-time, mobile guest engagement.
Current Features (Now Available):
- Player Account Information – live tier status, point balance, free play, and comp dollars
- Offer Listing – view of current and upcoming offers including free play, dining and hotel
- Secure Tax Forms – digital retrieval of win/loss statements and tax documentations
- Push Notifications & Event Alerts – real-time updates tailored to guest preferences
Future Features (Coming Soon):
- Entertainment & Special Event Schedule – full calendar of concerts and events
- Host Chat & Service Requests – direct, secure messaging for concierge-level support
- Interactive Property Navigation – maps, parking guidance, and way-finding tools
- Interactive Prizes – in-app rewards that are redeemable at either casino
“Launching the QCI Player App is a milestone for both Casino Fandango and Legends Bay Casino,†said DeCourcy Graham, Chief Operating Officer at Olympia Gaming. “Our guests can now see their rewards, view exclusive offers, and even access tax forms—all from their mobile device, furthering the value of our rewards program. We are thrilled to pioneer this technology in Northern Nevada and elevate the guest experience across our properties.â€
With a combined focus on value and exceeding guest expectations, Olympia Gaming and QCI’s collaboration is delivering on a promise to set a new industry standard, offering capabilities that surpass current market offerings.
“Olympia Gaming challenged us to create an app that goes beyond basic account lookup and truly empowers the player,†said Dr. Ralph Thomas, Chief Executive Officer at QCI. “This successful launch reflects a close collaboration between the Olympia team and QCI, and we are excited to see the QCI Player App drive deeper engagement and new revenue opportunities for both properties.â€
The LB Rewards and CF Rewards mobile apps are now available for download on Apple IOS and Google Play store.
New Hampshire Lottery enthusiasts wagered over $20 million on the NCAA basketball tournaments, experiencing a more than 10% increase in wagering from the previous year. Florida secured the men’s championship, while UConn emerged victorious on the women’s side.
Charlie McIntyre, Executive Director of New Hampshire Lottery, said: “What an incredible month of college hoops! We love seeing our players getting in on the sports betting action! Sports betting just adds a little extra excitement to the sports viewing experience, especially during March Madness when there are dozens of games throughout the month—not to mention an expanding variety of ways to bet.â€
McIntyre highlighted March Madness as a significant period for sports betting, contributing notably to funding New Hampshire’s public education. Alongside the excitement of March Madness, anticipation is building for the NHL and NBA Playoffs.
During the pre-tournament phase, local gamblers heavily backed Duke for the men’s category and strongly supported UConn for the women’s, with UConn delivering a favorable outcome. Conversely, Florida’s triumph in the men’s championship surprised many, as only 15% had initially placed their hopes on the team. However, by the championship game against Houston, two-thirds of bettors picked Florida, redeeming many bracket predictions.
Since its inception on December 30, 2019, mobile sports betting in New Hampshire has generated over $3.5 billion, benefiting public education by more than $140 million. Residents can place bets via the DraftKings Sportsbook app, available on iOS and Android, or online at Sportsbook.DraftKings.com. Responsible gaming is emphasized, with tools like My Stats Sheet, limit setting, cooling-off periods, and self-exclusion options available on the app.
Stats Perform, the global leader in sports AI, data and technology, has announced an official data partnership with the Northern Super League (NSL). The partnership will allow world-leading Opta data to be collected live from every NSL league game for the next three years.
Beginning this month, the Northern Super League (NSL) establishes a new era in Canadian sport as the country’s first professional domestic women’s soccer league — an ambitious and transformative initiative co-founded by former Canadian international and Olympic medallist Diana Matheson. Its inaugural season kicks off on April 16 and will feature six teams who have assembled multinational player rosters with extensive club and international experience, including 100-cap Canadian internationals Desiree Scott and Quinn.
Once the action begins, detailed data from every on-ball event, including advanced AI-powered Opta Analytics metrics such as Expected Goals (xG) and Expected Assists (xA), will be captured and distributed via feeds and Stats Perform products, including OptaAI Studio. This will enable various broadcasters, publishers and rights holders to generate stories and insights throughout the NSL season and provide them straight to the league’s fans in real time.
As part of the agreement, the NSL’s League Office and every NSL club will also have access to Opta Search, part of OptaAI Studio. This will allow their content creators to leverage all Opta data collected during the NSL season in the creation of data-led stories on the stand-out performers, and will help them generate key talking points for publication on official league and club platforms. Opta Search will also empower the NSL’s media team to create a range of data visualizations, including player shot maps and touch maps, to visually illustrate the impact of different players’ on-field performances.
Christina Litz, NSL President, said: “We are thrilled to have Stats Perform on board as our official data partner. When we talk about detailed performance data in soccer, Opta is the gold standard, so we are delighted to have it powering each of our official digital channels. As the season progresses, we want to put the spotlight on all the on-field heroes who emerge and having access to world-class data will help us tell their stories and inspire a new generation of Canadian soccer fans.â€
Steve Xeller, Chief Revenue Officer at Stats Perform, said: “Stats Perform has been a huge supporter of expansion leagues around the world, so we are very pleased to be partnering with NSL in the lead-up to their first domestic campaign. Seeing a fully professional women’s soccer league launch in Canada is an incredibly exciting development for the sport in North America and we see considerable potential in working proactively with the League’s Head Office to help the competition grow, using the power of AI and data-led storytelling to build fan communities across the continent.â€
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