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.
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