About

AI promises transformational value, yet many organisations see their AI ambitions stall or remain stuck in experimentation. The issue is rarely the technology itself. More often, it is a data management challenge.

Often unseen and underappreciated, data management plays the role of AI’s Dark Knight. It quietly provides the structure, trust and discipline that allow AI to work at scale, while others take the spotlight.

This session explains how poor data quality, unclear ownership and weak governance are amplified by AI, turning potential value into accelerated risk. It also shows how these same foundations, when designed with speed and purpose, unlock scalable and trusted AI.

By harnessing the momentum created by business demand for AI, we can show why data management is not the enemy of innovation, but the force that makes AI powerful, reliable and worth investing in.

Takeaways

• AI amplifies your data, not your intentions
• The fastest route to AI value is better data, not better models
• Use demand for AI to make data management non-negotiable
• Frame data governance as the fastest path to AI trust and scale versus control and compliance