[Data]: Data Standards that Scale – From Data to Meaning: Building the Context Layer

At our last STACK Meetup [Data] for 2026, we’ll tackle a challenge at the heart of data and AI: Context and shared meaning.  

As data platforms mature and AI becomes more capable, making data available might no longer be enough. When definitions and business meaning differ across teams and systems, users can arrive at conflicting answers while AI can also produce responses that sound right but aren’t.  

In this Meetup, GovTech and AWS will explore how shared context can help humans and AI interpret data consistently.

GovTech's Data Practice will share about context layers in data frameworks and introduce our conceptual blueprint for giving public sector data a shared frame of interpretation. This makes data available, understood, and trusted.

Building on the need for shared meaning, AWS will discuss how semantic layers, knowledge graphs, and ontologies can operationalise governed context for agentic AI. They will showcase how the accuracy, consistency, and explainability of AI outputs can be improved further.  

Close out the year with us and discover what it takes to make data truly meaningful.