Conferences / Toronto Machine Learning Summit (TMLS)
8th Annual Toronto Machine Learning Summit (TMLS) 2024
Jul 10–15, 2024 · Toronto, ON, Canada
- Conference
- Toronto Machine Learning Summit (TMLS) Data science & ML
- Dates
- Jul 10, 2024 – Jul 15, 2024
- Venue
- —
- Place
- Toronto, ON, Canada
- Format
- Hybrid
- Status
- Past
- Attendance
- —
- Website
- torontomachinelearning.com
- Recorded
- 9 sponsors · 20 speaker appearances
- Notes
- July 10 virtual; July 11 in-person workshops; July 12 & 15 in-person talks; July 13 optional hackathon; July 14 picnic. Venue not named on the archived homepage. Speakers: featured speakers on the homepage only.
Ticket prices
No ticket prices recorded
Sponsors 9
Platinum 1
- RBC Borealis · Platinum Sponsor
Other 8
- AutoAlign · Exhibitors
- lakeFS · Sponsors
- Lightning AI · Sponsors
- Neo4j · Sponsors
- Outerbounds · Exhibitors
- TELUS · Sponsors
- TitanML · Exhibitors
- XetHub · Sponsors
Speakers and talks 20
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Amir Hossein Karimi | University of Waterloo | Speaker | Advances in Algorithmic Recourse: Ensuring Causal Consistency, Fairness, & Robustness | — |
| Angela Xu | CIBC | Speaker | Revolutionizing Fraud Prevention: Harnessing AI and ML to Safeguard Banking from Fraud | — |
| Bhuvana Adur Kannan | Voiceflow | Speaker | Building and Evaluating Prompts on Production Grade Datasets | — |
| Estefania Barreto | Recursion | Speaker | Industrializing ML Workflows in Drug Discovery | — |
| Everaldo Aguiar | PagerDuty | Speaker | RAGs in Production: Delivering Impact Safely and Efficiently | — |
| Gayathri Srinivasan | Wattpad | Speaker | Optimizing Recommendations on Wattpad Home | — |
| Greg Loughnane | AI Makerspace | Speaker | Workshop: Open-Source Agentic RAG with LangChain & Mistral-7B | — |
| Jaime Tatis | TELUS | Speaker | How Is GenAI Reshaping the Business? | — |
| Jullian Yapeter | Signal 1 AI | Speaker | AI for Hospitals at Scale | — |
| Kiarash Shamsi | Wealthsimple | Speaker | LLMs for Revolutionizing Credit Risk Assessment | — |
| Mahdi Torabi Rad | MLBoost | Speaker | Workshop: Uncertainty Quantification with Conformal Prediction: A Path to Reliable ML Models | — |
| Patricia Thaine | Private AI | Speaker | Building Customer Trust in the Generative AI Era | — |
| Patrick Tammer | Scale AI | Speaker | Successfully Integrating Ai in Your Strategy and Business Operations – Lessons Learnt from Investing | — |
| Prashanth Rao | Kuzu Inc | Speaker | Workshop: Kùzu - A Fast, Scalable Graph Database for Analytical Workloads | — |
| Rohit Saha | Georgian | Speaker | Workshop: Leveraging Large Language Models to Build Enterprise AI | — |
| Royal Sequeira | Georgian | Speaker | Workshop: Optimizing Large Language Model Selection for Efficient GenAI Development | — |
| Sasha Luccioni | Hugging Face | Speaker | Connecting the Dots Between AI Ethics and Sustainability | — |
| Suhas Pai | Hudson Labs | Speaker | Making RAG (Retrieval Augmented Generation) Work | — |
| Winston Li | Arima | Speaker | Dynamic Huff's Gravity Model with Covariates for Site Visitation Prediction | — |
| Yannick Lallement | Scotiabank | Speaker | Gen AI in Banking: Lessons Learned | — |