Share your expertise at TMLS 2026

SPEAK AT TMLS 2026. SUBMIT THE FORM BELOW.

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TMLS is Canada’s flagship summit for applied ML, AI infrastructure, and enterprise adoption. We bring together the researchers, practitioners, and leaders putting AI into practice across Canada. If you have real lessons, practical wins, or important research to share, we’d love to hear from you.

We’re looking for talks grounded in real work, from production systems and implementation challenges to research that helps the community understand what matters now and what comes next.

A Program Shaped by Practitioners, Researchers, and AI Leaders

TMLS is built for people working through the real challenges of AI adoption, from production systems and infrastructure to operating models, governance, and research breakthroughs.

Every year, the program is shaped by a committee that helps surface the sessions, case studies, and ideas most worth your time.

TECHNICAL / ENGINEERING TALKS

Hands-on sessions for teams building, deploying, and improving ML and GenAI systems in practice, across infrastructure, workflows, optimization, and production-ready engineering.

Topic categories:

  • Data engineering and RAG pipelines
  • Search and recommendation systems
  • LLM prompt engineering and evaluation
  • Fine-tuning and training
  • Safety, governance, and auditability
  • Inference serving and optimization
  • Agents, workflow automation, and orchestration
  • Monitoring and drift detection
  • Enterprise adoption and team design

BUSINESS / EXECUTIVE / PRODUCT STRATEGY TALKS

Sessions for leaders making decisions around AI adoption, organizational design, governance, ROI, and the path from experimentation to meaningful business impact.

Topic categories:

  • AI strategy and executive decision-making
  • AI adoption and organizational change
  • ROI, value, and business impact
  • Operating models and governance
  • Risk, compliance, and trust
  • Product and go-to-market strategy
  • Scaling AI from pilot to production

FUNDAMENTAL RESEARCH

Research-led sessions exploring new modeling approaches, algorithms, evaluation methods, and theoretical advances that shape where AI is headed next.

Topic categories:

  • Model architecture
  • Training methods
  • Evaluation frameworks
  • Reinforcement learning and control
  • Agentic behavior
  • Safety and interpretability
  • Optimization and search

With thanks to our Steering Committee and reviewers for helping shape the TMLS program.

Summit Details:

10th Annual TMLS 2026: Speaker Submission Form

Thank you for your interest in Speaking at our flagship event, the Toronto Machine Learning Summit (TMLS).

Please fill out this short form to help us coordinate with our team, and reduce the amount of emails requesting information.

We look forward to continuing to grow our ML and AI communities and strengthening our shared ecosystem together.

TMLS is in its 10th year, serving as a long-standing community conference bringing together academic research, industry applications, and business strategy in a safe, welcoming, and constructive environment for those working across ML, AI and agents.

Together, our events support a global community of 15,000+ practitioners, researchers, and industry leaders, exploring best practices, methodologies, and principles across three tracks : Research, Business Strategy and Technical Applications.