Disney Research
Also listed as 3 other names
Disney · Disney Research Imagineering · Disney Streaming
Circuit mix
Where Disney Research 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%7 events
- Vendor flagships & roadshows18%5 events
- Enterprise, analyst & AI expos11%3 events
- Software engineering11%3 events
- Modern data stack & practitioner7%2 events
- Cloud providers4%1 event
The year around now
Conferences where Disney Research 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.
- Platinum
- 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.
Moved down 1
Best tier fell between the first and latest year with a ranked tier.
- NeurIPS (Conference on Neural Information Processing Systems)Platinum 2019 → Silver 2023
Pulled out 2
Not sponsored since 2024 or earlier, though a later event published a complete sponsor list without them.
- CVPR (IEEE/CVF Conference on Computer Vision and Pattern Recognition)last sponsored 2024; the conference ran again in 2025–26
- ICML (International Conference on Machine Learning)last sponsored 2019; the conference ran again in 2022–26
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).
8 Cluster: NeurIPS · ICML circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 7 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| Apple | 7 | 100% |
| 7 | 100% | |
| Microsoft | 7 | 100% |
| Alibaba Cloud | 6 | 86% |
| Intel | 6 | 86% |
| Meta | 6 | 86% |
| Qualcomm | 6 | 86% |
| Scale AI | 6 | 86% |
| Weights & Biases | 6 | 86% |
| Baidu | 5 | 71% |
| Bosch | 5 | 71% |
| IBM | 5 | 71% |
| Jane Street | 5 | 71% |
| Lambda | 5 | 71% |
| NAVER | 5 | 71% |
Neighborhood: companies with nearby conference footprints
Disney Research (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 7
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| CVPR 2024 | Jun 17–21, 2024 | Seattle, United States | Silver | Silver |
| NeurIPS 2023 | Dec 10–16, 2023 | New Orleans, United States | Silver | Silver |
| NeurIPS 2022 | Nov 28, 2022 – Dec 9, 2022 | New Orleans, United States | Platinum | Platinum |
| CVPR 2022 | Jun 19–24, 2022 | New Orleans, United States | Silver | Silver |
| NeurIPS 2019 | Dec 8–14, 2019 | Vancouver, Canada | Platinum | Platinum |
| CVPR 2019 | Jun 16–20, 2019 | Long Beach, United States | Gold | Gold |
| ICML 2019 | Jun 9–15, 2019 | Long Beach, United States | Silver | Silver |
Speakers 21
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| JD Paletto | Snowflake Summit 26 | speaker | Audience Flow Intelligence | — |
| Moritz Baecher | GTC 2026 | featured | — | — |
| mark.senerth mark.senerth | Data + AI Summit 2025 | speaker | Disney's Foundational Medallion: A Journey Into Next-Generation Data Architecture | — |
| Moritz Baecher | GTC 2025 | featured | — | — |
| Moritz Bächer | DDAC 2024 | keynote | Breathing Life into Disney’s Robotic Characters with Deep Reinforcement Learning | — |
| Moritz Bächer | GTC 2024 | featured | — | — |
| Jon Flanders | Visual Studio Live! Las Vegas 2024 | speaker | WebAssembly in the Cloud | — |
| Jon Flanders | Visual Studio Live! Las Vegas 2024 | speaker | Use OpenAPI to Document and Generate Your Services and Clients | — |
| Josephine Hua Pan | The AI Summit New York 2023 | panelist | Leader's Forum: challenging the concerns of 2024 | — |
| Himateja Madala | Data Con LA 2023 | speaker | NextGen Data Platforms: The Data Mesh | Video |
| Jon Flanders | Visual Studio Live! San Diego 2023 | speaker | Use OpenAPI to Document and Generate Your Services and Clients | — |
| Jon Flanders | Visual Studio Live! San Diego 2023 | speaker | WebAssembly in the Cloud | — |
| Jon Flanders | Visual Studio Live! Nashville 2023 | speaker | Use OpenAPI to Document and Generate Your Services and Clients | — |
| Jon Flanders | Visual Studio Live! Nashville 2023 | speaker | WebAssembly in the Cloud | — |
| Alek Zdziarski | AWS re:Invent 2022 | leadership session | Your data: How you need it, where you need it, when you need it | Slides · Video |
| Himateja Madala | AWS re:Invent 2022 | breakout | How Disney+ processes petabyte-scale data on Amazon EMR Serverless | Slides · Video |
| Mark Senerth | AWS re:Invent 2022 | leadership session | Your data: How you need it, where you need it, when you need it | Slides · Video |
| Ralph Peterkin | AWS re:Invent 2022 | breakout | How Disney used AWS Glue as a data integration and ETL framework | Slides · Video |
| Daphne Cheung | Data Con LA 2020 | speaker | Applying an intersectionality lens in data science | — |
| Ryan Lee | Data Con LA 2020 | speaker | Moral Responsibility of Data Professionals - Whistleblowing | — |
| Ashutosh Modi | DDAC 2019 | featured | Natural Language Understanding (NLU) Technologies at Disney Research | — |