As investment use cases become more dynamic, traditional data platforms are struggling to support real-time decision-making. Static data products alone are no longer sufficient—organisations are now looking to embed logic, models and decisioning directly into their data environments.

This session will explore how data platforms are evolving to support AI-driven investment workflows. 

• How can you move beyond static data delivery towards embedded decisioning capabilities
• What role do metadata, governance and architecture play in enabling reuse and scalability 
• How do you design platforms that support both flexibility and control across investment processes