DVC
Also listed as 1 other name
DVC.org
Circuit mix
Where DVC 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 science40%1 event
- Research40%1 event
- AI engineering & MLOps20%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 |
|---|---|---|---|---|---|---|---|---|
| ICML (International Conference on Machine Learning) | ||||||||
| MLOps World (Machine Learning in Production) | ||||||||
| PyData |
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
Where they've grown or pulled back
DownNothing recorded in 2026; sponsored 1 conference in 2023.
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.
- ICML (International Conference on Machine Learning)last sponsored 2023; the conference ran again in 2024–26
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 2 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| Microsoft | 2 | 100% |
| Amazon Science | 1 | 50% |
| Apple | 1 | 50% |
| Baidu | 1 | 50% |
| Capital One | 1 | 50% |
| Cerebras | 1 | 50% |
| Citadel | 1 | 50% |
| CoCalc by SageMath, Inc. | 1 | 50% |
| Colossal-AI | 1 | 50% |
| Crusoe | 1 | 50% |
| The D. E. Shaw Group | 1 | 50% |
| DeepMind | 1 | 50% |
| Determined AI | 1 | 50% |
| eBay | 1 | 50% |
| FedML | 1 | 50% |
Sponsorships 2
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| ICML 2023 | Jul 23–29, 2023 | Honolulu, United States | Silver | Silver |
| PyData Los Angeles 2019 | Dec 3–5, 2019 | Los Angeles, United States | Gold | Gold |
Speakers 3
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Dmitry Petrov | 4th Annual MLOps World Conference & Expo 2023 | speakers_corner | Data Versioning in Generative AI: A Pathway to Cost-Effective ML | — |
| Ryan Turner | 4th Annual MLOps World Conference & Expo 2023 | lightning | How NOT to Get ML Models into Production | — |
| Tibor Mach | 4th Annual MLOps World Conference & Expo 2023 | workshop (virtual) | Applying GitOps Principles at Every Step of An E2E MLOps Project - An Interactive Workshop | — |