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DataIQ Peer Exchange

A private peer exchange for enterprise data and AI leaders

Data & AI Governance: Building Trust in the AI Era

10 September

9:00am – 7:00pm (BST)

Great Scotland Yard Hotel, London
Enquire about 2027

Join senior data, AI and governance leaders to explore how organisations are adapting governance for the next generation of AI, from agentic systems and ethical decision-making to regulatory readiness and governance automation.

data intelligence insights

Practical Case Studies

Hear practical case studies showcasing examples of creating value with data in leading organisations.

Curated peer introductions

Exclusive Peer Networking

Exchange with a pre-qualified group of data and AI peers, for valuable, long lasting connections.

data leadership coaching

Focused Small-Group Discussions

Participate in focused, small group discussions, allowing to dive deeper into the subject.

Learn from senior enterprise data & AI leaders

Hear practical experiences from executives leading AI, data and analytics transformation inside some of the world’s largest organisations.

Tristram Graham, Principal Technology, Anglo American
Isabel Martin Garcia, Principal Product Manager - Data Platform, Anglo American
Jack Pettiford, Head of Metadata, Data Quality & Data Governance Technology, Nationwide Building Society
Jamie Camble, Data Quality Capability Lead, Nationwide Building Society
Georgios Tziatzias, Group Head of Data Governance, Lloyds Banking Group
Scott Joslin, DataIQ Expert

Who's in the Room?

What previous attendees said

“A valuable opportunity to exchange ideas, share experiences, and gain fresh perspective.”

Global Business Process Owner, Sanofi

“The best vendor-free space for honest, high value discussions.”

Director Data Governance, Brenntag

Agenda

08:00 – 09:00: Registration, Breakfast & Networking

Welcome from DataIQ.

  • Introductions and event objectives.
  • Overview of the Peer Exchange format.
  • Meet the expert facilitator.

Tristram Graham, Principal Technology, Anglo American
Isabel Martin Garcia, Principal Product Manager – Data Platform, Anglo American

  • Explore how governance must evolve as organisations move from AI experimentation to autonomous and agentic systems.
  • Discuss where human oversight should remain essential, how accountability changes when AI takes action, and what guardrails leaders need before increasing autonomy.
  • Examine how organisations are managing emerging risks including Shadow AI, autonomous decision-making and governance beyond traditional AI use cases.

Jack Pettiford, Head of Metadata, Data Quality & Data Governance Technology, Nationwide Building
Society
Jamie Camble, Data Quality Capability Lead, Nationwide Building Society

 

  • Discuss how organisations define clear decision rights and embed accountability into business processes.
  • Explore how ownership is linked to data quality priorities across the organisation.
  • Review approaches to ensuring governance responsibilities are actively carried out, not just documented.

Georgios Tziatzias, Group Head of Data Governance, Lloyds Banking Group

  • Explore how organisations are navigating difficult governance decisions where ethics, commercial value and risk don’t neatly align.
  • Discuss how explainability, transparency, provenance and accountability help leaders make AI decisions they can defend.
  • Examine how organisations are balancing innovation with trust while avoiding governance becoming a box-ticking exercise.

Scott Joslin, DataIQ Expert

  • Examine why explaining it better and showing more data rarely moves anything.
  • Discuss what resistance is really protecting and why nobody says it out loud.
  • Review ideas on what to do with it: name what you see, ask what it protects, and change our approach rather than the arguments.

• Reflections and key takeaways.
• Upcoming Peer Exchange events.

Register your interest for 2027

Interested in joining a DataIQ Peer Exchange in 2027? Register your interest below and we’ll let you know when applications open for our 2027 programme.

 

DataIQ Peer Exchanges are designed for senior data, analytics and AI leaders from enterprise end-user organisations, bringing together peers facing comparable challenges for open, confidential discussion. Attendance is curated to protect the quality of the conversation. Service providers and consultants are not eligible to attend.

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