System1
Circuit mix
Where System1 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 science67%1 event
- Modern data stack & practitioner33%1 event
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 | ||||||||||
| Budapest Data+AI Forum |
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.
- Gold
Where they've grown or pulled back
DownNothing recorded in 2026; sponsored 1 conference in 2019.
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.
Once or on and off 1
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- PyDataonce, 2019, Gold
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 |
|---|---|---|
| DVC | 1 | 100% |
| H2O.ai | 1 | 100% |
| HRL Laboratories | 1 | 100% |
| IBM | 1 | 100% |
| Microsoft | 1 | 100% |
| Neo4j | 1 | 100% |
| NVIDIA | 1 | 100% |
| Win-Vector LLC | 1 | 100% |
Sponsorships 1
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| PyData Los Angeles 2019 | Dec 3–5, 2019 | Los Angeles, United States | Gold | Gold |
Speakers 3
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Nagy Attila | Budapest Data Forum 2020 | speaker | Data Science infrastruktúra skálázása a felhőben | — |
| Amy Tzu-Yu Chen | PyData Los Angeles 2019 | speaker | What's Data Science Reporting? | Video |
| Fletcher Riehl | PyData Los Angeles 2019 | speaker | Modeling Search Term Revenue: Using Embedding Layers to Manage High Cardinality Categorical Data | Video |