Evolving Data Governance for the AI Era in Regulated Industries

Join an exclusive peer discussion for senior data and AI leaders.

This small-group session offers a confidential space for senior professionals to exchange insights, share challenges, and learn from one another. 

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Discussion Questions:  

• How are organisations extending governance beyond traditional critical-data domains to support AI, and what approaches are proving most effective? 

• As AI expands the scope and complexity of governance, how are organisations balancing regulatory requirements with more adaptive approaches, and what role are principles-based frameworks playing? 

• What approaches are most effective for aligning data governance, model risk management and AI oversight? 

Who should attend? 

This session is designed for senior data and AI leaders who:    

• Operate within regulated industries where data and AI governance is prescriptive, measurable and enforceable 

And 

• Responsible for defining, implementing or overseeing governance frameworks for AI and regulatory compliance 

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Accelerator format:

DataIQ Accelerators are focused peer-to-peer discussions designed to address, and problem solve around a concrete challenge. Each session brings together a curated group of qualified contributors with relevant expertise to validate ideas, share practical perspectives, and shape actionable next steps. 

What to expect:

• Invitation-only, moderated discussions for senior data and AI leaders to share ideas, brainstorm, and learn from collective expertise to solve a specific challenge. 
• Contributors are asked to actively participate and openly share their experiences.
• Hosted under Chatham House rules. 

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How to apply if you are not a client:

If you are currently not subscribed to the DataIQ service, but would like to join this session, you can apply to be considered for participation by filling in the form below.

DataIQ clients: Please secure your place via the DataIQ Hub.