AI is more accessible than ever—but scaling it remains a challenge. The bottleneck is no longer just models or compute, but data readiness. This talk explores why structured, standardized, and connected data is essential for building reliable AI at scale, and how approaches like knowledge graphs help bring context and consistency to complex data environments.

It also highlights a key shift: AI is not only consuming data, but increasingly improving it—supporting data modelling, integration, and quality. The result is a practical perspective on how organizations can move from isolated AI use cases to scalable, trustworthy AI by focusing on the foundation that matters most: their data.

Chief Data Officer Yi Yu, BEC Financial Technologies (Presentation in English)