BCG
Circuit mix
Where BCG shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Python & R data science84%9 events
- Cloud providers16%2 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 |
|---|---|---|---|---|---|---|---|---|---|---|
| PyData | ||||||||||
| PyCon (national Python conferences) | ||||||||||
| SciPy Conference (Scientific Computing with Python) | ||||||||||
| EuroPython | ||||||||||
| Google Cloud Next | ||||||||||
| AWS re:Invent |
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.
- Platinum
- Gold
- Silver
- Bronze
- Other / unlabeled
Where they've grown or pulled back
FlatSponsored 2 conferences in 2026, flat from 2 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.
New 2
First sponsored in 2025 or later.
- EuroPythonfirst sponsored 2026, Gold
- Google Cloud Nextfirst sponsored 2026, unranked tier
Moved down 1
Best tier fell between the first and latest year with a ranked tier.
- PyCon (national Python conferences)Silver 2019 → Bronze 2022
Once or on and off 2
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- PyData2 of 6 years, 2019–24
- SciPy Conference (Scientific Computing with Python)2 of 4 years, 2019–22
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).
- NumFOCUS0.88
- Space Telescope Science Institute0.86
- Python Software Foundation0.86
- Quansight0.85
- Streamlit0.85
- Ploomber0.85
- DevITJobs0.82
- Warsaw University of Technology0.78
16 Cluster: PyCon · EuroPython circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 8 this company sponsored).
Neighborhood: companies with nearby conference footprints
BCG (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 8
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| EuroPython 2026 | Jul 13–19, 2026 | Kraków, Poland | Gold | Gold |
| Google Cloud Next '26 | Apr 22–24, 2026 | Las Vegas, United States | Explorer | Other |
| PyData NYC 2024 | Nov 6–8, 2024 | New York, United States | Platinum | Platinum |
| SciPy 2022 | Jul 11–17, 2022 | Austin, United States | Gold | Gold |
| PyCon Italia 2022 | Jun 2–5, 2022 | Florence, Italy | Bronze | Bronze |
| PyData New York City 2019 | Nov 4–6, 2019 | New York, United States | Platinum | Platinum |
| SciPy 2019 | Jul 8–14, 2019 | Austin, United States | Gold | Gold |
| PyCon X (PyCon Italia 2019) | May 2–5, 2019 | Florence, Italy | Silver | Silver |
Speakers 3
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Ian Stokes-Rees | PyData Boston 2025 | tutorial | "Save your API Keys for someone else" -- Using the HuggingFace and Ollama ecosystems to run good-enough LLMs on your laptop | Slides · Video |
| Guillem Borrell | PyCon DE & PyData Berlin 2023 | tutorial | Most of you don't need Spark. Large-scale data management on a budget with Python | — |
| Allen Chen | AWS re:Invent 2019 | demo theater | The quandary of containerized machine learning | Slides · Video |