Nick McDonald, Senior Account Director at Fujitsu, says SMEs can use its pioneering Private GPT thanks to a smart commercial model based on the number of users granted access to the product
It’s often the case that a business identifies a technology or solution that could be transformational but is deterred from finding out more due to an assumption that it would be cost-prohibitive. From platform ownership to developing content in-house, there are loads of examples of where businesses identify opportunities but fail to act because of an assumption about the cost of entry.
This is something Fujitsu is looking to address with its Private GPT for SMEs. The company has pioneered a Private GPT solution that allows organisations to chat with their proprietary data with its “lite” version proving to be a hit with smaller companies.
To learn more about Fujitsu’s Private GPT and its dedicated SME offering, we spoke to the company’s iGaming Account Director, Nick McDonald.
Talk us through Fujitsu’s Private GTP solution.
Our Private GPT works similarly to OpenAI’s ChatGPT, but instead of consuming and using publicly available data, it sits on top of an organisation’s data warehouse. This means it uses proprietary data to generate answers to the queries asked of it. The performance of our Private GPT is way beyond that of a public alternative as it does not rely on an AI cloud service and instead puts the AI where the data is. What’s more, with our Private GPT, permissions can be given to specific teams and even individuals so different users can access different data sets – for example, the trading team needs to access different data sets than legal and compliance. This makes it an incredibly powerful tool for organisations looking to maximise the insights hidden within the vast volumes of proprietary data they hold and to leverage the huge competitive advantage this provides.
Employees at SMEs are turning to GPTs in increasing numbers, but some concerns come with this which has led some organisations to block access to them. Just this month an international law firm, Hill Dickinson, has done just that.
How have you tailored the product for SMEs?
SMEs can access our full Private GPT solution but with a limited number of user accounts – we offer options for 10, 20 or 30 named users through a 12-month licensing commercial model. This means they can benefit from the huge upsides our Private GPT offers but without having to invest in full access – access that many smaller businesses don’t require – or commit to a longer licensing period. With the SME version, companies can provide access to the departments that need it instead of making it available to the entire company. While this is a “nice to have”, it could make the solution cost-prohibitive for smaller organisations and at Fujitsu, we want to make our products available to as many organisations as possible, especially SMEs.
What makes data such a challenge for SMEs in the online gambling industry?
Online gambling companies generate huge volumes of data from a wide range of sources, from KYC and customer onboarding to payments, bonuses, player preferences, legal, compliance and more. This data is highly valuable and can be used to make business-critical decisions in real-time, but only if companies can extract the insights and value it holds. This is easier said than done with data often siloed and hard to access for the teams that need it most. It usually needs cleaning and translating into consistent formats, too. Without this being done, it’s really hard to analyse and even harder to take action against. Ultimately, operators have the power of data in their hands, they just don’t know how to use it. But this is where our Private GPT comes in.
How can Fujitsu’s Private GPT be used by SMEs?
There are loads of different use cases and, as we roll it out with more SMEs, its full capabilities are only just being understood and discovered. Ultimately, employees can ask any question of the data set they are given access to and receive answers and insights. Our Private GPT also allows for greater collaboration between employees and teams, allowing them to jointly generate insights. These insights can also help to evaluate results and decision support systems. Let me give an example of our Private GPT in action. An online sportsbook customer has used it to assist its legal and compliance teams when entering new markets, with staff able to ask questions and have the Private GPT trawl through documents relating to legal and compliance activity in all markets to provide insights for documentation being created to entering additional jurisdictions.
Can it be used for consumer-facing projects, too?
It can indeed. The same operator has also used our Private GPT to allow bettors to ask questions about past team performance, based on the data held by the operator and then use it to guide betting decisions. Online casinos could use it in the same way, with players able to ask which slots have paid out the most that day, for example. The great thing about our Private GPT for SMEs is that it can sit on top of any data set or sets, so operators and suppliers can be really creative in how they use it and as more companies roll it out, I expect plenty more used cases to emerge.
