Vincey Au

We’re at a moment in the industry where every data professional is trying to reach the AI-powered future of analytics: where reliable insights are generated instantly on demand, freeing our analysts from ad hoc data requests to pursue more strategic work. However, many of us have found that simply plugging an AI to our data warehouse won’t magically get us there. At Canva, we’ve identified three big things that need to happen first: an AI-ready data warehouse architecture, a semantic layer to assist and govern our LLM assistants, and a solution to metric consistency. In this session, we dive into each of those three major aspects of our journey toward the future of analytics.

What does it take to implement a data modeling project when working at a company that's in hypergrowth? In this session, Vincey will take us through a recent project to incorporate mobile app data into Canva's sessionization model, with the added complexity of having to make this work on petabytes of data.