Online gambling operators generate vast volumes of data every day and this data is generated from a wide range of sources, including KYC, payments, bonuses, markets and odds, user behaviour, compliance and even legal.
This data holds tremendous value and can be used to make business-critical decisions in real time. But extracting value from data can be easier said than done. It is often siloed, hard to access for certain team members and even harder to analyse and take action against.
Imagine, though, a solution that allows operators to easily chat with their data. A solution that allows them to ask questions and be presented with answers in an instant.
This was made possible by the launch of ChatGPT, which took just two months to reach 100 million users – Facebook, in comparison, took 54 months. The meteoric rise of ChatGPT is due in part to the power of generative AI in being able to extract information (value) from a vast array of data sources.
A lot of us will already be using ChatGPT, and while for most, it is a fun tool for learning more about a particular topic or creating content such as articles and reports, others have used it in a professional capacity, and this has led to some unintended but serious consequences.
There are plenty of examples but one of my favourites is the lawyer who used ChatGPT to check if there were any legal precedents for a case they were working on.
The lawyer typed their query into ChatGPT – thankfully being smart enough to not include specific information about the case – and it returned information showing that there were legal precedents. They then instructed ChatGPT to compile the information in a document to submit to the court.
A Private GPT really does provide online gambling operators with endless opportunities to explore
The issue was that the information ChatGPT returned was false, something the judge picked up on after reading the document submitted by the lawyer and undertaking their own research into the legal precedents presented.
When the judge was unable to find any such cases, they put this to the lawyer who came clean about using ChatGPT to search for legal precedents, but then not checking what it returned. The lawyer was ultimately struck off.
This was the best possible result for the lawyer. Had they included information about the case in their ChatGPT search, they would have faced a lengthy prison sentence for breaching confidentially. This is because ChatGPT is a public service that consumes information as well as shares it.
But what if organisations could create their own Generative Pre Transformer (the GPT bit of ChatGPT) that was private? This is something that we have been working on in recent months and now offer our customers a Private GPT.
It works in a similar way to ChatGPT but instead of being public it only feeds off data and information generated by a business – for example, an online gambling operator.
This data can be segmented with the GPT sitting on top of different data warehouses. Permissions can also be given so that different users can access different data sets when using the Private GPT – a casino manager doesn’t need to access the same data as the CFO, for example.
While ChatGPT might be seen as a bit of a novelty, a Private GPT can help organisations unlock tremendous value from the data they generate and hold.
These are just some of the things an organisation can do with a Private GPT:
Ask any questions – the large language model provides global insights and knowledge from across the organisation.
Chat with your data – upload complex documents that can be analysed together.
Find new answers – interpret previously unstructured knowledge to make data-driven business decisions that help organisations unlock growth.
Work together – there’s no end of scenario-based use cases.
Jointly generate insight – users can build work output together.
Evaluate results and decision support systems – users can upload and share their working documents or texts to ask for help.
Other benefits of keeping your GPT private are data sovereignty and protection, with the organisation having total control over their data and company secrets. Organisations can also enjoy cost efficiencies – they invest once and can then use their GPT without any limits or added cost.
The performance of a 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.
So how can an online gambling company use a Private GPT? Let’s take a sportsbook operator as an example. The organisation can use a Private GPT for both internal and customer-facing activities.
ChatGPT, which took just two months to reach 100 million users – Facebook, in comparison, took 54 months
Internally, it might be used for legal and compliance, with the user being able to ask questions about things like regulations and legal requirements in specific markets as part of their work to prepare documentation for entering a newly regulated jurisdiction.
Another use case is the marketing team who could also ask questions about the preferred bonus offer among football fans and use this insight to help guide their latest CRM campaign around the start of the new football season.
The operator could also use a Private GPT for a customer-centric tool. For example, bettors could ask questions about past team performance (based on the data held by the operator) and use it to help guide their betting decisions.
A Private GPT really does provide online gambling operators with endless opportunities to explore, and all through allowing organisations and team members to chat with the vast volume of data they generate and hold.
