Trusted AI starts with trusted data
How to scale both in the public sector

Public sector leaders are being asked to “do AI” fast, but the old truth still applies: rubbish in, rubbish out. In this session, Agile and Informatica share a pragmatic approach to AI readiness that balances speed with trust. Learn how to stop poor data at the source, define “good enough” quality for real use cases, and prove value through small, safe experiments before scaling to bigger, citizen facing services.

Event details: Thursday 26 March, 11:00

What you will learn
You will leave with a clear, pragmatic path to AI readiness, including:
• How to stop poor data at source so you are not fixing the same problems forever
• How to define “good enough” data quality based on use cases
• How to run small, safe experiments that build trust and momentum
• How to structure squads and responsibilities so delivery does not stall
• How automation, governance, and quality controls support scaling responsibly

Who should attend
• Data and digital leaders in the public sector
• Data governance and data quality roles
• Innovation and transformation teams
• Service owners exploring AI assisted decision support or knowledge discovery