Sida Yuan

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.