As organisations invest in data and AI, many are discovering that improving data quality alone is not enough. Without clear context, ownership and accountability, data remains difficult to trust and use effectively across the enterprise.

This panel will explore how organisations are strengthening the foundations of trusted data. 

• How can you go beyond data quality to incorporate lineage, context and fit-for-purpose usage? 
• What role do ownership and stewardship models play in driving accountability?
• How do you bring these elements together to support more confident decision-making and scalable AI adoption?