Data & AI Governance: Building Trust in the AI Era
10 September
9:00am – 5:30pm (BST)
Practical Case Studies
Hear practical case studies showcasing examples of creating value with data in leading organisations.
Exclusive Peer Networking
Exchange with a pre-qualified group of data and AI peers, for valuable, long lasting connections.
Focused Small-Group Discussions
Participate in focused, small group discussions, allowing to dive deeper into the subject.
“The most valuable event I’ve attended.”
Chief Data Scientist, BMW
“A rare opportunity to learn openly from peers facing the same challenges.”
Director Analytics, Brenntag
“I left with ideas I implemented the following week.”
Head of Governance, IKEA
“A premier forum for candid discussion among peers.”
Director Data, Mondelez
• Welcome from DataIQ.
• Introductions and event objectives.
• Overview of the Peer Exchange format.
• Meet the expert facilitator.
• 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.
• Explore how organisations are embedding governance into AI and data workflows through automation.
• Discuss practical approaches to automating policy enforcement, monitoring, documentation and governance controls.
• 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.
• 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.
• Reflections and key takeaways.
• Upcoming Peer Exchange events.
To keep discussions relevant and confidential, every application is reviewed.
Attendance is limited to senior data, analytics and AI leaders from enterprise end-user organisations. That ensures everyone in the room shares comparable challenges and can speak openly. Service providers and consultants will not be eligible to attend.
