- MLOps North
- Toronto Summit
- Presented by TMLS
AI Sovereignty
About the track
Running your own AI stack became an urgent question after the temporary deprecation of Anthropic’s Mythos, and it remains a poor fit for some organizations. This track covers the whole decision, not just the migration: which workloads are worth moving and which are not; what open-weight licenses actually permit, and where indemnification sits; how to prove capability was not lost, by replaying your own logged traffic against candidate models rather than trusting public benchmarks; and how to choose between self-hosting and a token factory, and where the cost curve genuinely crosses.
We will also cover risks, such as; benchmark contamination, dependence on labs subject to other jurisdictions, serving economics propped up by cheap capital, and the alignment and censorship decisions already baked into weights. Sessions span C-level, legal, platform, and AI/ML, because no single function owns the whole path. It’s built for product leads, AI/ML leads, platform engineering and MLOps teams, ideally with at least one LLM workload in production or in pilot. Attendees leave with a transition plan for their own setup.
Track host
Founder TMLS, MLOps World
See Track Lead Profile
David Scharbach is the founder of the Toronto Machine Learning Society (TMLS) and MLOps World, two of the largest community-driven gatherings focused on machine learning in production. Over the past decade, he has organized more than a hundred summits, workshops, and micro-events, bringing together tens of thousands of practitioners, researchers, and business leaders to share real-world, no-fluff lessons on deploying and operationalizing ML and AI systems.
David’s work centers on building open, practitioner-first spaces where teams can candidly compare notes on what actually works in production, from infrastructure, cost management, and ROI to agentic systems and AI sovereignty. As track lead, he draws on that community perspective to curate sessions grounded in real case studies and hard-won operational lessons.
Toronto Summit · Presented by TMLS · Nov 5–6, 2026 · RBC WaterPark Place, TorontoThe people building agents, and the people building with them – one room, on the Toronto waterfront. Two days of practitioner-curated talks on what actually ships: the stack underneath agentic systems, and the products, workflows, and agents teams are running in production right now.