Public sector teams are under pressure to move quickly on AI, but speed without trust creates risk. The foundation of effective AI is still good data. In this webinar, Agile and Informatica share a practical approach to AI readiness that helps organisations improve data quality, build confidence, and scale responsibly.
AI ambition is growing across the public sector, but successful adoption depends on the quality, governance, and usability of the data behind it. This webinar explores how organisations can stop poor data at source, define what “good enough” looks like for real use cases, and prove value through small, low risk experiments before moving into wider citizen facing services.
Watch the webinar on demand to learn how trusted data creates the conditions for trusted AI:
You will hear a pragmatic view of AI readiness, with a focus on improving trust in data before scaling AI initiatives. The session covers how to reduce recurring data quality issues, how to align data quality standards with actual use cases, how to structure delivery teams and responsibilities, and how governance, automation, and quality controls support responsible growth.
Attendees will leave with a clearer path to AI readiness. That includes practical ways to stop poor data at source, define fit for purpose data quality, run small experiments that build momentum, organise squads and ownership more effectively, and use governance and automation to scale in a controlled way.