Georgian
Circuit mix
Where Georgian shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- AI engineering & MLOps100%5 events
Presence by conference and year
Each cell is one conference in one year. Fill shows the company sponsored, shaded by its best tier that year; a dot means it had speakers there. Hover for details; click to open the event.
- Title
- Platinum
- Gold
- Silver
- Bronze
- Other / unlabeled tier
- Had speakers
| Conference | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | 2027 | 2028 |
|---|---|---|---|---|---|---|---|---|---|---|
| Toronto Machine Learning Summit (TMLS) | ||||||||||
| O'Reilly Artificial Intelligence Conference | ||||||||||
| MLOps World (Machine Learning in Production) |
Activity by year
Three measures on one year axis; each panel has its own scale. 2027, 2028 is still mostly ahead, so its bars are faded and incomplete.
Conferences present at
Distinct conferences each year, split by whether the company sponsored or only had speakers there.
- Sponsored
- Speakers only
Distinct speakers
People from this company on a program that year, each counted once.
Sponsorships by tier
Sponsorship rows per year (one per event and listing), stacked by normalized tier.
- Silver
Where they've grown or pulled back
DownNothing recorded in 2026; sponsored 1 conference in 2022.
Counted per conference. 2026 is the latest year whose conferences have mostly happened. Tiers use the best tier each year; swatches show the path, oldest first. A conference counts as pulled out only when a later event published a complete sponsor list, since most events don’t say whether their list is complete.
Pulled out 1
Not sponsored since 2024 or earlier, though a later event published a complete sponsor list without them.
- Toronto Machine Learning Summit (TMLS)last sponsored 2022; the conference ran again in 2023–26
Not on the company map: lookalikes are computed only for companies present at four or more conferences.
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 1 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| AMD | 1 | 100% |
| Aporia | 1 | 100% |
| Arize AI | 1 | 100% |
| Armilla AI | 1 | 100% |
| Autodesk | 1 | 100% |
| Begin | 1 | 100% |
| Continual | 1 | 100% |
| Covalent | 1 | 100% |
| Dataiku | 1 | 100% |
| Iterative | 1 | 100% |
| Loblaw Digital | 1 | 100% |
| ModelOp | 1 | 100% |
| Pachyderm | 1 | 100% |
| Private AI | 1 | 100% |
| Schulich School of Business | 1 | 100% |
Sponsorships 1
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| 6th Annual TMLS 2022 | Nov 22–30, 2022 | Toronto, Canada | Silver Sponsors | Silver |
Speakers 6
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Rohit Saha | 8th Annual Toronto Machine Learning Summit (TMLS) 2024 | speaker | Workshop: Leveraging Large Language Models to Build Enterprise AI | — |
| Royal Sequeira | 8th Annual Toronto Machine Learning Summit (TMLS) 2024 | speaker | Workshop: Optimizing Large Language Model Selection for Efficient GenAI Development | — |
| Azin Asgarian | 3rd Annual MLOps World 2022 | speaker | What Do Engineers Not Get About Working with Data Scientists? | — |
| Azin Asgarian | TMLS Annual Conference & Expo 2020 | speaker | Overcoming the Cold Start Problem: How to Make New Tasks Tractable | — |
| Chang Liu | O'Reilly Artificial Intelligence Conference London 2019 | speaker | — | — |
| Ji Chao Zhang | O'Reilly Artificial Intelligence Conference London 2019 | speaker | — | — |