Sustainable and responsible AI transformation in the public sector

About this event

In February 2024, our Lead Data Scientist James Poulten presented our considerations for adopting sustainable and responsible AI transformation (artificial intelligence) at the Public Sector Data & AI summit in Westminster.

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 data-driven insights, but it also carries risks. 

James took the audience through this journey, giving practical examples to effectively use these tools in any organisation.

Our Head of Data Jim Stamp and Client Partners Nina Midgley and Geraldine Matthews also joined the event. Have a look at what some of them had to say.

Team’s thoughts on data & AI at the public sector data & AI summit event.

JAMES POULTEN: The main talking points so far have been optimism around AI with a healthy amount of caution, really people wanting to make sure that these technologies are implemented safely, securely, ethically and lawfully. 

JIM STAMP: Focus on how you should treat your data and the value that it should be delivering.

ANA SANTOS: Is there anything you learned so far that can apply to our work in the public sector? 

JAMES POULTEN: I think my takeaway is just the huge amount of enthusiasm. People understand that this is a game changing technology, and they’re eager to implement it. They’re looking for how best to go about that. 

JIM STAMP: Help chat with people who have real problems and helping them think about how they might solve them. 

ANA SANTOS: What was the main thing you heard that you agreed with? 

JAMES POULTEN: There was a really interesting talk around ecological sustainability of AI. No one ever talks about the environmental impact that these models are having. That’s something that needs to be discussed more as we go forward. 

JIM STAMP: Sustainability is probably the biggest problem that comes with doing generative AI.


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?


Date

Tuesday, 27 February 2024

Speakers

Geraldine Mathews

Client Partner

Nina Midgley

Client Partner

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.

Jim Stamp

Head of Data and AI 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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