Modernising Regulatory Data Production for the AI Era

Join an exclusive, small-group discussion for senior data and AI leaders, providing a confidential space to exchange insights, share challenges, and learn from peers.

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As regulatory demands grow and data environments become more complex, organisations have an opportunity to rethink how regulatory data is produced and governed. This session will explore how cloud-native architectures, data products and AI can create more efficient, trusted and reusable approaches to reporting, while considering how regulatory engagement itself may evolve. 

Discussion Questions:

  • How are organisations redesigning regulatory data production for cloud-native, data products and AI-enabled environments while continuing to meet regulatory obligations?  
  • What does the future of regulatory reporting look like as AI matures, and how might interactions with regulators evolve? 
  • What operating models enable efficient, trusted and reusable regulatory data production? 

 Who should attend:  

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

  • Operate in highly regulated industries with complex regulatory reporting obligations 
  • Are responsible for regulatory data production and reporting 

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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.

RSVP

Local Time

  • Timezone: America/New_York
  • Date: 29 Sep 2026
  • Time: 9:30am - 10:30am