Kaggle
Circuit mix
Where Kaggle shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Research50%2 events
- AI engineering & MLOps38%2 events
- Python & R data science13%1 event
The year around now
Conferences where Kaggle sponsored or had speakers in the past 12 months, and the announced events it is already listed for. One row per conference, January to December; hover a mark for the event and the company's role.
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
Activity by year
Three measures on one year axis; each panel has its own scale.
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.
- Gold
- Silver
- Other / unlabeled
Where they've grown or pulled back
FlatSponsored 1 conference in 2026, flat from 1 in 2024.
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.
New 2
First sponsored in 2025 or later.
- AI Engineer (World's Fair, Summit and regional editions)first sponsored 2026, unranked tier
- ICML (International Conference on Machine Learning)first sponsored 2025, Gold
Once or on and off 1
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- NeurIPS (Conference on Neural Information Processing Systems)once, 2024, Silver
Lookalikes
Companies with the most similar conference footprint: they sponsor and speak at the same conferences. Bars are cosine similarity, from 0 (nothing shared) to 1 (identical).
- neptune.ai0.95
- Roboflow0.89
- DatologyAI0.88
- Ollama0.87
- Abridge0.87
- Modal0.86
- DeepMind0.84
- Cartesia AI0.81
8 Cluster: NeurIPS · ICML circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 3 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| Cerebras | 3 | 100% |
| Comet | 3 | 100% |
| The D. E. Shaw Group | 3 | 100% |
| 3 | 100% | |
| Jump Trading | 3 | 100% |
| Optiver | 3 | 100% |
| Runpod | 3 | 100% |
| Together AI | 3 | 100% |
| Two Sigma | 3 | 100% |
| Akash Network | 2 | 67% |
| Apple | 2 | 67% |
| Baidu | 2 | 67% |
| Bloomberg | 2 | 67% |
| ByteDance | 2 | 67% |
| Capital One | 2 | 67% |
Neighborhood: companies with nearby conference footprints
Kaggle (ringed) and the 30 companies closest to it on the company map. Close together means they sponsor and speak at many of the same conferences. Distances are only meaningful locally; the axes have no meaning. Dot size: conferences present at. Color: cluster.
Sponsorships 3
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| AI Engineer New York 2026 | Oct 12–14, 2026 | New York, United States | Supporting Partners | Other |
| ICML 2025 | Jul 13–19, 2025 | Vancouver, Canada | Gold | Gold |
| NeurIPS 2024 | Dec 10–15, 2024 | Vancouver, Canada | Silver | Silver |
Speakers 2
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| D. Sculley | 4th Annual MLOps World Conference & Expo 2023 | speaker | Is It Too Much to Ask for A Stable Baseline? | — |
| Rachael Tatman | PyCon US 2019 | speaker | Put down the deep learning: When not to use neural networks and what to do instead | Video |