Making data governance priorities work in practice

As organisations move from AI experimentation to real‑world deployment, data governance must evolve from policy and principle into practical execution. This masterclass focuses on how data governance priorities are changing in response to AI, and how to embed those priorities into everyday business operations.

Designed for data leaders and practitioners, the session will explore how organisations operationalise data governance so it actively supports AI readiness, builds trust in data and enables confident, responsible decision‑making at scale.

What to expect:

Expert insights: Hear from industry leaders on how AI is reshaping data governance priorities and what this means in practice.

Real‑world application: Learn how organisations are embedding governance into business processes to support AI readiness and responsible use.

Peer discussion: Share challenges and ideas with fellow data leaders navigating governance in an AI‑driven environment.

Practical takeaways: Leave with clear actions you can apply to strengthen governance and enable AI at scale.

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

Date: Wednesday 13 May 2026

Time: 10am - 3pm

Venue: Experian, 6th Floor, Cardinal Place, 80 Victoria St, London SW1E 5JL

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Agenda

Time Session
10:00 Welcome 
10:15

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
10:45

How AI is reshaping data governance priorities - Jovita Tam

  • How AI changes data governance expectations around transparency, accountability, and trust
  • How data governance must evolve to support AI responsibly
11:15 Break
11:30

Operationalising data governance to enable trusted AI at scale- Mariana Reis

  • How organisations can move beyond data governance frameworks to embed governance into operational processes, using trusted data foundations
  • The critical role of data quality, lineage, monitoring, and controls in enabling AI to move safely from experimentation into production
  • How leading organisations are using data governance as an enabler of trust, compliance, and better decision‑making, not a blocker
  • Where data governance, data quality, and AI must intersect to support scalable, responsible AI use
12:00 Lunch and networking
1:00

AI trends and embedding governance into business processes - Pete and Sean

  • Key AI trends shaping enterprise adoption today
  • How organisations are embedding governance directly into business processes
  • Practical examples of aligning AI and data governance with day‑to‑day decision‑making
1:30 Interactive workshop 
2:15 Q&A panel
2:45 Wrap up

Meet the speakers

image of Nicola Askham

Nicola Askham

The Data Governance Coach

Jovita Tam

Jovita Tam

Data & AI Advisor

Pete Youngs

Pete Youngs

Founding Partner, Ortecha

Mariana Reis

Mariana Reis

Principal Data Management Consultant, Experian

Robert Hawker

Robert Hawker

Power BI consultant, Meloro

Sean Russell

Sean Russell

Head of AI Enablement, Ortecha

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