Wake Forest University
Also listed as 2 other names
Wake Forest · Wake Forest University School of Business
Circuit mix
Where Wake Forest University shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Enterprise, analyst & AI expos38%2 events
- Python & R data science38%3 events
- Vendor flagships & roadshows25%1 event
The year around now
Conferences where Wake Forest University 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
| Conference | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 |
|---|---|---|---|---|---|---|---|---|
| Disney Data & Analytics Conference | ||||||||
| New York R Conference (now The New York Data Science & AI Conference) | ||||||||
| Tableau Conference | ||||||||
| useR! (The R User Conference) |
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.
- Bronze
- Other / unlabeled
Where they've grown or pulled back
DownNothing recorded in 2026; sponsored 2 conferences 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.
Pulled out 1
Not sponsored since 2024 or earlier, though a later event published a complete sponsor list without them.
- Disney Data & Analytics Conferencelast sponsored 2019; the conference ran again in 2022–26
Once or on and off 1
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- Tableau Conferenceonce, 2019, Bronze
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).
- R Systems0.79
- R Consortium0.78
- Appsilon0.72
- Raiffeisen Bank International0.69
- RStudio0.64
- Jumping Rivers0.62
- Mango Solutions0.62
- City University of New York0.61
14 Cluster: JSM · useR! circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 2 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| Alation | 2 | 100% |
| Alteryx | 2 | 100% |
| Couchbase | 2 | 100% |
| Databricks | 2 | 100% |
| Dataiku | 2 | 100% |
| DataRobot | 2 | 100% |
| dbt Labs | 2 | 100% |
| Fivetran | 2 | 100% |
| Informatica | 2 | 100% |
| InterWorks | 2 | 100% |
| Metric Insights | 2 | 100% |
| Qubole | 2 | 100% |
| Smartsheet | 2 | 100% |
| Snowflake | 2 | 100% |
| 1010data | 1 | 50% |
Neighborhood: companies with nearby conference footprints
Wake Forest University (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 2
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| Tableau Conference 2019 (TC19) | Nov 12–15, 2019 | Las Vegas, United States | Kilobyte | Bronze |
| DDAC 2019 | Aug 20–21, 2019 | Lake Buena Vista, United States | Showcase | Other |
Speakers 4
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Jeff Camm | DDAC 2026 | featured | Large Language Model Evaluation and Guardrails: Building Trustworthy Artificial Intelligence Systems | — |
| Lucy D’Agostino McGowan | useR! 2025 | speaker | Date and time: | — |
| Lucy D'Agostino McGowan | New York R Conference 2022 | workshop | Workshop: Causal Inference in R | — |
| Lucy D'Agostino McGowan | New York R Conference 2021 | workshop | Workshop: Causal Inference in R | — |