Here's what's in it for you specifically:
🔷 Learn from people doing your job at bigger scale
Sessions from senior engineers, data scientists, BI leads, and governance specialists at organizations like LinkedIn, AstraZeneca, OMERS, Bell, TD, RBC, Loblaws, and Sanofi — sharing what actually worked and what didn't. Not theory. Deployments in production.
🔷 Tracks built for your discipline
Whether you work in data engineering, analytics and BI, governance and data management, or AI and ML — there's a full day of content built specifically for your technical depth. Choose your track and go deep, or move between sessions as topics suit you.
🔷 Workshops you can apply on Monday
Hands-on workshops covering MLOps and scalable data pipelines, operationalizing AI governance, data quality and observability, and semantic caching and relearning loops. These aren't slide decks — they're working sessions designed to give you tools you can use immediately.
🔷 The career angle is real
A dedicated track for aspiring senior leaders covers objection handling and getting buy-in for your proposals, building credibility with executive teams, bridging the gap between technical expertise and business impact, and preparing the next generation of data talent for AI-driven roles. If you're thinking about what comes next in your career, this track was written for you.
🔷 The network matters more than you think
Over 500 data and analytics professionals in one room across two days. The conversations in the hallways and over lunch are often as valuable as the sessions themselves. Canada's data community is smaller and more connected than people realise — the person you meet on Day 1 may be your hiring manager, your collaborator, or your reference two years from now.
