Bridging the government data divide
How could synthetic data speed up AI adoption in the public sector?
Research Report
This report from SAS UK and Tussell explores how synthetic data can accelerate AI adoption in the UK public sector. Despite rising investment - £19bn in IT procurement and a 64% jump in AI contracts in 2024 - progress is hindered by the “government data divide”; siloed, outdated, and poor-quality data systems.
Synthetic data offers a solution by mimicking real-world data while preserving privacy, enabling faster, safer AI development. Case studies from the MOD, policing, and shared services show how synthetic data supports bias mitigation, scenario testing, and cross-agency collaboration.
The report outlines five strategic pillars for success: aligning IT and AI projects to deliver value, standardising data governance, improving workforce data literacy, augmenting real-world data with synthetic sources, and identifying risk-free use cases for testing.
Download the full report to discover how synthetic data can unlock AI’s potential and transform public services for a more efficient, equitable future.