As client expectations increase, relationship managers are under pressure to deliver more timely, relevant and value-added interactions. However, fragmented data and manual processes often limit their ability to act proactively and tailor services effectively.

• How to deliver real-time insights to relationship managers to enable proactive client engagement
• How to personalise product recommendations using AI-driven analytics and client data
• How to scale AI-enabled coverage while maintaining consistency, control and commercial impact

As data environments grow in scale and complexity, organisations are rethinking how data is owned, managed and delivered. Centralised models can provide consistency and control, but often struggle to keep pace with business demand, while more federated approaches introduce challenges around standardisation and accountability. This panel will explore how organisations are designing data operating models that balance these competing demands. 

• How can you structure ownership across central teams and business domains?
• How can you balance control, standardisation and scalability in evolving data models?
• How can you define accountability to support both platform growth and business responsiveness?