13 October
9:00am – 5:30pm
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.
Hear practical experiences from executives leading AI, data and analytics transformation inside some of the world’s largest organisations.
“Very useful group discussions. I left with ideas I implemented the following week.”
Head of Governance, IKEA
“Open conversations that inspire fresh thinking and lasting connections.”
Senior Data Governance Officer, FMO
• Welcome from DataIQ.
• Introductions and event objectives.
• Overview of the Peer Exchange format.
• Meet the expert facilitator.
Hesam Shokouhi-Jah, Associate Director, Data Governance, Coca-Cola Europacific Partners
• 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.
Ana Aguero Garcia, Data Governance Lead, Axpo
• 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.