Pearson
Also listed as 2 other names
Pearson / O'Reilly · Pearson PLC
Circuit mix
Where Pearson 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 science68%11 events
- Cloud providers16%5 events
- Modern data stack & practitioner6%2 events
- Enterprise, analyst & AI expos6%2 events
- AI engineering & MLOps3%1 event
The year around now
Conferences where Pearson 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.
- Other / unlabeled
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.
Steady 1
Sponsored in most years of its span at the same tier.
- New York R Conference (now The New York Data Science & AI Conference)every year 2019–25, unranked tier
Once or on and off 1
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- PyData3 of 6 years, 2019–24
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).
- Deliveroo0.85
- H-E-B0.85
- HEINEKEN0.83
- ZEISS0.82
- Just Eat Takeaway.com0.82
- Aetna0.82
- Lidl International0.80
- ASAPP0.80
4 Cluster: PyData · PyCon circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 10 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| Manning | 6 | 60% |
| Chapman & Hall/CRC, Taylor & Francis Group | 5 | 50% |
| Microsoft | 5 | 50% |
| Posit | 5 | 50% |
| R Consortium | 5 | 50% |
| Springer Nature | 5 | 50% |
| NausicaaDistribution | 3 | 30% |
| Quansight | 3 | 30% |
| RStudio | 3 | 30% |
| Two Sigma | 3 | 30% |
| BCG | 2 | 20% |
| Bloomberg | 2 | 20% |
| Bruichladdich Distillery | 2 | 20% |
| Codecademy | 2 | 20% |
| Columbia University | 2 | 20% |
Neighborhood: companies with nearby conference footprints
Pearson (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 10
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| The New York Data Science & AI Conference 2025 | Aug 26–27, 2025 | New York, United States | Supporting | Other |
| PyData NYC 2024 | Nov 6–8, 2024 | New York, United States | Community Sponsor | Community |
| New York R Conference 2024 (10th anniversary) | May 16–17, 2024 | New York, United States | Supporting | Other |
| New York R Conference 2023 | Jul 13–14, 2023 | New York, United States | Supporting | Other |
| PyData NYC 2022 | Nov 9–11, 2022 | New York, United States | Community | Community |
| New York R Conference 2022 | Jun 9–10, 2022 | New York, United States | Supporting | Other |
| New York R Conference 2021 | Sep 9–10, 2021 | New York, United States | Supporting | Other |
| R Conference "New York" 2020 (virtual) | Aug 14–15, 2020 | New York, United States | Supporting | Other |
| PyData New York City 2019 | Nov 4–6, 2019 | New York, United States | Supporting | Other |
| New York R Conference 2019 | May 10–11, 2019 | New York, United States | Supporting | Other |
Speakers 17
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Chris McAvoy | AWS re:Invent 2026 | lightning talk | Building Trust in AI Agents through Skills-Based Verification (sponsored by Pearson) | — |
| Juan Garcia | AWS re:Invent 2026 | lightning talk | Building Trust in AI Agents through Skills-Based Verification (sponsored by Pearson) | — |
| Krzysztof Jędrzejewski | Data & AI Warsaw Tech Summit 2026 | workshop | Czy LLM-y naprawdę są uniwersalne? O szwajcarskich scyzorykach sztucznej inteligencji | — |
| Ray Murray | AWS re:Invent 2025 | lightning talk | Agents of Change: AI & People Powering the Future of Work (sponsored by Pearson) | Video |
| Vishaal Gupta | AWS re:Invent 2025 | lightning talk | Agents of Change: AI & People Powering the Future of Work (sponsored by Pearson) | Video |
| Sinan Ozdemir | ODSC AI West 2025 | keynote | — | — |
| Krzysztof Jędrzejewski | Data & AI Warsaw Tech Summit 2025 | roundtable | 1. Which LLMs are better: managed APIs or self-hosted open models? | — |
| Shantel Love | AWS re:Invent 2024 | breakout | How Pearson elevates CX with Amazon Connect & Salesforce Service Cloud | Video |
| Terrence Clark | AWS re:Invent 2024 | breakout | How Pearson elevates CX with Amazon Connect & Salesforce Service Cloud | Video |
| Blair Hudson | CDAO Sydney 2024 | speaker | — | — |
| Adam Nagus | CDAO Europe 2022 | speaker | — | — |
| Ashley Hromatko | AWS re:Invent 2021 | breakout | Develop your FinOps practice to maximize your AWS Cloud spend (sponsored by Apptio) | Slides · Video |
| Marykay Wells | AWS re:Invent 2021 | breakout | Cultivating diversity for greater business value & competitive edge (sponsored by Accenture) | Slides · Video |
| Norm Nadeau | AWS re:Invent 2021 | breakout | Simplify your file-based workloads with Amazon FSx | Slides · Video |
| Mateusz Otmianowski | PyData Warsaw 2019 | talk | How to efficiently model learner’s knowledge with recurrent neural networks | — |
| Josh Pavel | AWS re:Invent 2019 | breakout | [REPEAT 1] Amazon ES ingest at Pearson—managing high throughput and scale | Slides · Video |
| Josh Pavel | AWS re:Invent 2019 | breakout | [REPEAT] Amazon ES ingest at Pearson—managing high throughput and scale | Slides · Video |