Are You De-Risking or De-Valuing Your AI? The Cost of Poor Governance
Governance isn’t red tape. It’s the route to safe, scalable AI that actually reaches the frontline. Unity Catalog is the engine for that shift – unifying governance across your data and AI, so you can move from experiments to production with confidence.
On-Demand Webinar
Public sector teams are under pressure to “do something with AI” – but every move is scrutinised for risk, compliance and cost.
This on-demand session shows a different path. Manuka and Databricks unpack how Unity Catalog can unblock innovation and get AI into production.
What you'll learn:
In under an hour, our panel breaks down:
Why governance is stalling your AI
How well-intentioned controls, legacy platforms and “pilot purgatory” de-risk on paper but quietly de-value your data, policy ambition and frontline services.
How Unity Catalog changes the game
How Databricks Unity Catalog gives you a single governance layer for data, models and access, so you can bring AI to your data, keep everything inside your security perimeter and still move fast with GenAI and agents.
A practical route from policy to progress
How to use value-chain mapping and a “catalyst use case” to prove value early, then scale what works, instead of chasing 100 disconnected experiments.
Real public sector examples
Where peers are already using governed GenAI for eligibility and benefits, policy search and public services – and what they’ve learnt about risk, data quality and operating models along the way.
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