From strategy to execution: Data governance in the age of AI

The real impact of poor data quality on AI - Robert Hawker

• Practical, real‑world examples showing how data quality issues derail AI and analytics initiatives, and how participants can use these examples to make a compelling case for action in their own organisations
• Reframing the data quality business case: how to explicitly align data quality initiatives with AI outcomes, positioning data quality not as a “nice to have”, but as a critical dependency for successful AI delivery
• Using AI to transform data quality delivery: how AI techniques can be embedded into data quality tooling and processes to automate detection, accelerate remediation, and significantly reduce the cost and effort of running data quality programmes

Data Governance in the Age of AI: Why It Still Feels Like a No — and What to Do About It - Jovita Tam

• What the evolving AI regulatory landscape means for data governance priorities in practice 
• Why governance so often fails to stick — and the human and organizational factors behind it 
• Practical ways to think about making governance more enabling in an AI-driven environment

Operationalising data governance to enable trusted AI at scale

Mariana Reis, Principal Data Management Consultant at Experian and former Head of Data Governance at Deutsche Bank and WPP will lead a seminar on the shifting role of governance across regulated and unregulated sectors, the emerging challenges posed by AI, and how organisations can adapt to ensure trust, control, and agility. The session will also highlight how Aperture Data Studio enables modern Data Governors to operationalise data quality, transparency, and compliance, empowering businesses to scale AI with confidence.

How the data governance role is changing under AI pressure - Pete and Sean

• How data governance operated pre‑AI: challenging, under‑resourced, and often underserved across organisations
• The impact of AI adoption on governance teams: approved AI tools, the rise of shadow AI, and a surge in new AI use cases creating overwhelming demand for well‑governed data
• AI as a catalyst for change: using AI‑driven governance demand to unlock long‑standing funding conversations by clearly linking trusted data to real business value
• The future of AI‑charged data governance