How AI transformation can help improve weather predictions

About this event

How can a world-leading weather service adopt AI transformation solutions to process hundreds of thousands of user feedback submissions?

The Met Office and Made Tech came together to share their journey from forms and spreadsheets to a fully automated machine learning enhanced data processing pipeline. In this event replay you’ll hear all about:

  • this project and the challenges we came across
  • harnessing language models to analyse user perceptions of the weather
  • the changes we made and the value it’s brought to the team and their users

If you have any questions please email events@madetech.com.


Once you’ve watched the recording we highly recommend you to find out in more detail what our project with the Met Office achieved:

You can also read our expert James Poulten’s take on the state of AI in the public sector, with some tips for organisations to consider on their AI transformation journey.

Speakers

Mat Gard

Solutions Architect at the Met Office

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.