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Nominet Nominet explores AI use cases in the domain name industry

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AI presents significant opportunities for individuals and businesses across the globe. And yet, knowing when and where to apply AI to yield the best results remains a common challenge.

As a technology organisation that’s committed to finding new and innovative ways to strengthen our role as guardians of .UK, we’ve been exploring how we can use AI as a force for good.

Earlier this autumn, armed with enthusiasm and curiosity, we held an AI hackathon over two days at our Oxford headquarters to create and share ideas in a practical, collaborative setting.

Read on to find out how we got on and discover our key learnings.

A collaborative and cross-functional event


We purposely designed the event to be inclusive and open to all – including those with less AI or coding experience. We also wanted our AI hackathon to be as collaborative as possible and cross-functional. Around 20 colleagues from across the business took part, using GenAI and our Databricks platform to solve real business problems.

Like many technologies used by businesses, the possibilities of AI are endless, with hundreds of potential use cases and applications. However, during our hackathon, we focused on discussing and testing some of the most viable concepts.

There was an exciting energy in the room as colleagues shared ideas and tested concepts, ranging from better domain name suggestions to domain abuse and business insights.

The combination of creativity and technical skills in the room was inspiring, as colleagues worked together to identify ways to overcome real business challenges for our clients.

AI use cases in the domain name industry


Four teams set off to find solutions to various challenges, mainly focusing on how to increase Domains under Management (DUM) and how to increase our registry’s security. Each of the teams provided significant value and ideas related to the future use of AI.

One of these solutions was looking at how we can use GenAI for domain name suggestions, either because the domain name requested is unavailable, or to generate ideas for individuals or businesses registering a website for a particular purpose.

Colleagues also experimented with using GenAI to answer business questions. For example, by giving models access to business documents to provide answers specific to the organisation, or by using tools that turn natural language queries into code to query the data and provide responses.

Our judging panel of four selected the winning team, who developed a solution using GenAI to increase DUM by providing better and more intelligent domain suggestions, while ensuring domain safety checks are integrated in the process. We plan to take this forward as a proof of concept within our organisation.

Shaping the future of AI at Nominet


Nominet already has a history of using machine learning, for example in our Domain Watch service, which aims to spot phishing domains at the point of registration.

However, in this fast-changing landscape, we’re continually looking at ways we can leverage the latest technology and tools to innovate and improve the way we work.

So what does the future of AI look like at Nominet? We’re excited by the possibilities AI presents in our industry – and especially the use cases that we explored during our AI hackathon. As for our next steps, we’re hoping to turn the winning team’s entry around intelligent name suggestions into an MVP.

Thank you to everyone who took part and made sure it was a resounding success.

The post Nominet explores AI use cases in the domain name industry appeared first on Nominet.

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