Strategic data preparation: Building the foundations for scalable AI

In this session, our panellists examined how enterprises can strengthen the data foundations that AI success truly depends on, looking beyond structured data to the broader ecosystem that underpins scale.

As Australia and Singapore push forward with AI adoption, it has become clear that progress hinges less on advanced algorithms and more on the robustness and trustworthiness of the data behind them. The discussion explored how the complexity of diverse sources introduces risks of inaccuracy and unmet expectations. At the same time, the panellists highlighted the untapped potential within billions of unstructured files across enterprises—and how unlocking this data can drive greater efficiency, deeper insights, and stronger trust in AI outcomes.

The session emphasised that for AI to deliver measurable value at scale, leaders must take a strategic approach to data governance. This panel examined how today’s leaders can transform their data ecosystems into resilient foundations that support scalable, ethical, and high-performing AI.

In this recorded session, you will learn:

• Strategies to balance AI innovation with compliance, sovereignty, and privacy requirements.

• Practical methods to improve data accessibility, compliance, and lifecycle management.

• Insights into building effective governance frameworks that ensure trust, accountability, and scalability.

• How to responsibly and securely leverage proprietary data for measurable AI outcomes.