Conferences / Toronto Machine Learning Summit (TMLS)
10th Annual Toronto Machine Learning Summit (TMLS) 2026
Jun 16–19, 2026 · CIBC Square, Toronto, ON, Canada
- Conference
- Toronto Machine Learning Summit (TMLS) Data science & ML
- Dates
- Jun 16, 2026 – Jun 19, 2026
- Venue
- CIBC Square
- Place
- Toronto, ON, Canada
- Format
- Hybrid
- Status
- Past
- Attendance
- —Homepage: '60+ Speakers', '400+ Attendees' (series-level marketing figure).
- Website
- torontomachinelearning.com
- Recorded
- 13 sponsors · 14 speaker appearances
- Notes
- June 16 virtual talks; June 17-18 in-person talks at CIBC Square (81 Bay St); June 19 in-person workshops. Speakers: featured speakers only. Prices include fees and tax per the ticket widget; currency not labeled (Eventbrite Canada).
Ticket prices
| Ticket | Price | Valid until | Notes | Source |
|---|---|---|---|---|
| Live Stream | CA$200 | — | torontomachinelearning.com | |
| Startup/Student/Academic | CA$531 | — | torontomachinelearning.com | |
| Group (3+), per ticket | CA$589 | — | torontomachinelearning.com | |
| General Admission | CA$647 | — | torontomachinelearning.com |
Sponsors 13
Platinum 1
Community 2
- Northeastern University Toronto · Community Partners
- SRIC (University of Toronto) · Community Partners
Speakers and talks 14
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Afsaneh Fazly | Astaria AI | Speaker | From SaaS to Agentic Platforms: Where the Next Software Advantage Lies | — |
| Alet Blanken | Workday | Speaker | How Software Companies Become AI Companies | — |
| Armando Benitez | BMO Capital Markets | Speaker | Agents in Production: What It Actually Takes in Regulated Environments (panel) | — |
| Dawn Song | UC Berkeley | Speaker | Towards Building Safe and Secure AI: Lessons and Open Challenges | — |
| Deepkamal Gill | Vanguard | Speaker | Scaling Production-Grade LLMs: Diagnosing Hidden Bottlenecks in Training and Inference Systems | — |
| Freddy Lecue | Wells Fargo | Speaker | What It Takes to Build Production-Grade Foundation Models in Finance | — |
| Hanieh Arjmand | Chubb | Speaker | A Multi-Stage Framework for Instruction-Based Evaluation of LLM Outputs | — |
| Ion Stoica | UC Berkeley | Speaker | An Open AI Stack | — |
| Ketan Umare | Union.ai | Speaker | The Orchestration Stack for Observable, Debuggable, and Durable Agents | — |
| Manuela Veloso | Carnegie Mellon University | Speaker | Humans and Continual Learning AI Agents: The Journey | — |
| Michael Levin | Tufts University | Speaker | The Scaling of Memories and Goals: The Basis of Intelligence in Diverse Embodiments | — |
| Muhammad Mamdani | University of Toronto | Speaker | Artificial Intelligence in Healthcare: From Promise to Practice | — |
| Steven Waslander | University of Toronto | Speaker | Reasoning Robots: Open World Navigation and Memory for Agentic Robots | — |
| Travis DePuy | Weights & Biases | Speaker | Don't Fine-Tune Yet: When Prompt Optimization Wins (and When It Doesn't) | — |