Aligning Decentralised Data and AI Capabilities with Enterprise Strategy

As AI capabilities become embedded across SaaS platforms, organisations are rethinking how they balance business-led innovation with enterprise governance. Join senior data and AI leaders to discuss the operating models, guardrails and cost controls needed to scale AI effectively. 

Discussion Questions:  

  • How are organisations defining the role of central data and AI teams when business functions can build analytics, data products and agents within SaaS platforms? 
  • What governance, architecture and investment guardrails prevent duplication and fragmentation without blocking business-led innovation? 
  • How are organisations maintaining visibility, ownership and consistent standards for data quality, security, compliance and AI governance? 
  • What approaches are proving most effective for measuring, forecasting and controlling the cost of GenAI capabilities within SaaS platforms? 

 Who should attend:  

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

  • Leaders directly responsible for enterprise data, AI, architecture or governance, with experience of operating models spanning central and business-unit teams 
  • Organisations using multiple major ERP, CRM, HCM or SaaS platforms where native data, analytics and AI capabilities are being adopted. 

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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.

Request attendance

Local Time

  • Timezone: America/New_York
  • Date: 16 Sep 2026
  • Time: 7:00am - 8:00am