Public sector data & AI summit 2024

About this event

We’ll be attending and presenting at this year’s Public Sector Data & AI summit in Westminster. Are you joining us?

Our Lead Data Scientist James Poulten, will be going over our considerations for adopting sustainable and responsible AI (artificial intelligence).

The past year has seen an explosion in AI tools and LLM (Large Language Models) solutions across the data landscape in the public sector and beyond. AI has the potential to transform operations across departments by opening up capacity and delivering new insights, but it also carries risks. 

Join us to hear James give practical examples to help you effectively use these tools in your organisation.

James will be joined at the event by our Head of Data Jim Stamp, and Client Partners Nina Midgley and Geraldine Matthews. Drop by our stand for a chat.

This event is now fully booked but you can join the waitlist by clicking on the ‘Register to join’ button.

Meanwhile, if you get a tricky data question you’d would like to ask our experts about, why not join James and some of our other data experts?


Tuesday, 27 February 2024


Geraldine Mathews

Client Partner

Nina Midgley

Client Partner

Avatar photo

James Poulten

Lead Data Scientist at Made Tech

James Poulten has a PhD in Experimental Quantum Matter Physics and has spent 4 years consulting public sector organisations. Currently a Lead Data Scientist at Made Tech, James has worked with a range of big-name public sector organisations including the likes of Border Force, the Cabinet Office and Number 10 Data Science. He's also lent his expertise to the Department for Levelling up, Housing and Community, Skills for Care and the Met Office.

Photo of Jim Stamp, Head of Data at Made Tech

Jim Stamp

Head of Data Capability Practice at Made Tech

​​Jim has over two decades of experience working in and around software development, spanning many disciplines. He has led the way in establishing Made Tech’s data capability while also leading several major data platform projects.

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