Re-Architecting Data for the AI Era
This exclusive virtual roundtable brings together data and technology leaders to explore the real-world barriers to modern data architecture - and how to overcome them.
From complexity to clarity: building data architectures ready for AI and high-performance workloads
Modern enterprises are under pressure to deliver faster insights; scale AI initiatives, and reduce operational inefficiencies - all while managing increasingly complex, distributed environments.
But many organisations are being held back by legacy architectures, fragmented cloud strategies, and rising infrastructure costs.
This exclusive virtual roundtable brings together data and technology leaders to explore the real-world barriers to modern data architecture - and how to overcome them.
Key Discussion Topics
- Over-provisioning resources and driving unnecessary infrastructure costs and inefficiency
- Poorly architected workloads limited performance, scalability and AI readiness
- Increasing shadow IT creating governance, security and visibility challenges
- Multi-cloud complexity making it difficult to manage consistency, cost and control
- Vendor lock-in and skills gaps restricting flexibility and slowing AI and high-performance workloads
Why Attend
This is not a product showcase - it's a strategic discussion about how enterprises can realistically modernise their data ecosystems to support AI at scale.
Expect practical insight, candid discussion and actionable ideas you can take back to your organisation.
Register Your Interest Below
Attendance is strictly limited.
Join senior technology leaders from across industries to explore how to simplify complexity and build truly AI-ready data architectures.