TomTom
Circuit mix
Where TomTom shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Vendor flagships & roadshows50%4 events
- Enterprise, analyst & AI expos25%4 events
- Python & R data science13%1 event
- Postgres & open-source databases6%1 event
- AI engineering & MLOps6%1 event
The year around now
Conferences where TomTom 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
- Bronze
Where they've grown or pulled back
UpSponsored 2 conferences in 2026, up from 1 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.
Moved down 1
Best tier fell between the first and latest year with a ranked tier.
- Spatial Data Science Conference (SDSC)Silver 2021 → Bronze 2026
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).
- Renault0.88
- Volkswagen0.78
- The HEINEKEN Company0.75
- Vattenfall0.74
- Futurice0.74
- MOSTLY AI0.73
- Stat4decision0.72
- DeepL0.71
17 Cluster: PyData · QCon circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 5 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| 3 | 60% | |
| Snowflake | 3 | 60% |
| Databricks | 2 | 40% |
| dataPlor | 2 | 40% |
| Adyen | 1 | 20% |
| Amazon Web Services | 1 | 20% |
| Applied Geographic Solutions | 1 | 20% |
| Cotality | 1 | 20% |
| Doorda | 1 | 20% |
| DuckDB Labs | 1 | 20% |
| Echo Analytics | 1 | 20% |
| Ellipsis Drive | 1 | 20% |
| Experian | 1 | 20% |
| Foursquare | 1 | 20% |
| GeoIQ | 1 | 20% |
Neighborhood: companies with nearby conference footprints
TomTom (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 5
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| Spatial Data Science Conference 2026 New York | Oct 21, 2026 | New York, United States | Bronze Sponsors | Bronze |
| PyData Amsterdam 2026 | Sep 10–12, 2026 | Amsterdam, Netherlands | Gold Sponsor | Gold |
| Spatial Data Science Conference 2022 New York | Oct 20, 2022 | New York, United States | Silver Sponsors | Silver |
| Spatial Data Science Conference 2022 London | May 19, 2022 | London, United Kingdom | Silver Sponsors | Silver |
| Spatial Data Science Conference 2021 | Oct 25–28, 2021 | — | Silver Sponsors | Silver |
Speakers 8
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Tara Farzami | Data Innovation Summit 2027 | featured | — | — |
| Julia Flament-Wallin | Data Innovation Summit 2025 | featured | — | — |
| Cassandra Moons | CDAO Europe 2022 | speaker | — | — |
| Łukasz Gebel | ML Conference Berlin 2021 | speaker | Machine Learning: The Bare Math Behind Libraries | — |
| Piotr Czajka | ML Conference Berlin 2021 | speaker | Machine Learning: The Bare Math Behind Libraries | — |
| Michał Gutkowski | Postgres Conference 2019 (PostgresConf US 2019) | speaker | Using Grafana and Prometheus for PostgreSQL monitoring in TomTom | Slides |
| Rafał Hawrylak | Postgres Conference 2019 (PostgresConf US 2019) | speaker | Using Grafana and Prometheus for PostgreSQL monitoring in TomTom | Slides |
| Alain De Taeye | Big Data Paris 2019 | keynote | How TomTom has evolved from a Navigation Company to a Big Data Company | — |