The new government faces significant challenges in transforming public services, especially in health and social care. Paul O’Looney’s blog outlines the 5 key digital priorities for the proposed National Care Service.
Data and AI
Learn more about our data and AI service.
Turning numbers into narratives
Data science isn’t just about crunching numbers. According to James Poulten, Lead Data Scientist at Made Tech, it’s about creating compelling stories from the information.
The case against centralised teams for data governance
A traditional approach to data governance can hinder the progress of AI and ML. Federated governance provides a new perspective; focused on principles rather than processes.
The Microsoft x Met Office hackathon
Usually, when we hear the word hackathon it’s easy to think of an intense atmosphere with competing teams beavering away to be the first to crack the code. The hackathon I attended in October 2022 was a little different.
It’s time public sector leaders recognise data’s potential
Data is crucial for our public sector organisations to make better, more informed and fairer decisions at a faster pace.
Build better products: A Co-Production Framework for AI and emerging tech
Learn the 10 key principles to build tech collaboratively, so that you can truly meet the needs of your residents and stakeholders.
AI might be the new toy, but data governance is key
Attendees at a recent Government Transformation Magazine event all agreed that good data management should come before AI to deliver the best results.
ChatGPT: what the public sector needs to know
Let’s take a look at large language model artifical intelligences. Are they suitable for use in the public sector? Here’s everything you need to know to make an informed choice.
Why data ethics matter
We’re hoping to see data ethics develop as we discuss opinions and points of view of diverse communities of developers, customers and citizens.
What is the difference between a data analyst, engineer and scientist?
Organisations are starting to see the value of how data insights can create change. But in such a complex space, it can be hard to figure out what data scientists, engineers and analysts each do.
