AI is being positioned as the next step change in asset management, supply chain, and procurement — but for many organisations, the reality on the ground is very different. Data remains inconsistent, fragmented, and difficult to trust, raising a more practical question: how good does your data actually need to be before AI delivers real value?

This panel brings together perspectives from across the ecosystem to explore where data breaks down today, what “good enough” looks like in practice, and where organisations are starting to see results. Expect an honest, experience-led discussion on the gap between AI ambition and operational reality, and what needs to change to close it.

Key Areas of Discussion

• Where master and operational data typically break down across asset, supply chain, and procurement environments
• What “good enough” data looks like in practice to support AI-driven insights and decision-making
• Where AI is delivering real value today, and where it continues to fall short
• The role of governance, ownership, and process discipline in improving data quality
• What organisations would do differently if starting again with data and AI initiatives