Thermo Fisher Scientific
Circuit mix
Where Thermo Fisher Scientific 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 expos86%6 events
- Cloud providers14%1 event
The year around now
Conferences where Thermo Fisher Scientific 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 |
|---|---|---|---|---|---|---|---|---|
| Data Governance & Information Quality Conference (DGIQ) | ||||||||
| AWS re:Invent |
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.
Where they've grown or pulled back
Thermo Fisher Scientific has never sponsored a tracked conference, so this follows where its speakers appear instead.
FlatHad speakers at 1 conference in 2026, flat from 1 in 2023.
Counted per conference. 2026 is the latest year whose conferences have mostly happened. A conference counts as no longer seen only when later events published speaker lists.
No longer seen 1
No speakers since 2024 or earlier, though the conference published speaker lists after that.
- AWS re:Inventlast seen 2019; the conference ran again with speaker lists in 2020–25
Regulars 1
Speakers in most years of the span.
- Data Governance & Information Quality Conference (DGIQ)speakers in 5 of 5 years, 2022–26
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 0 this company sponsored).
No co-sponsors: this company has no recorded sponsorships, or sponsored alone.
Sponsorships 0
No sponsorships recorded for Thermo Fisher Scientific.
Speakers 13
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Donny Bronson | DGIQ West + Enterprise Data World (EDW) 2026 | speaker | Metadata Remediation for AI Readiness: Enabling Intelligent Data Discovery Through Governance and Automation | — |
| John Moran | DGIQ West + Enterprise Data World (EDW) 2026 | speaker | Enterprise Data Strategy First vs. Use Case–Led Execution | — |
| Julie Giese | DGIQ West + Enterprise Data World (EDW) 2026 | speaker | Metadata Remediation for AI Readiness: Enabling Intelligent Data Discovery Through Governance and Automation | — |
| Shannon Gill | DGIQ West + Enterprise Data World (EDW) 2026 | speaker | Metadata Remediation for AI Readiness: Enabling Intelligent Data Discovery Through Governance and Automation | — |
| John Moran | DGIQ West + Enterprise Data World (EDW) 2025 | speaker | Affinity Group: Healthcare | — |
| Donny Bronson | DGIQ 2024 West | speaker | Data Governance for Projects | — |
| John Moran | DGIQ 2024 West | speaker | Data Governance for Projects | — |
| Julie Giese | DGIQ 2024 West | speaker | Data Governance for Projects | — |
| John Moran | DGIQ 2023 West | speaker | Establishing Sound Data Governance: A Data Catalog Story | — |
| John Moran | DGIQ 2022 East | keynote | What Data Is Critical (CDEs) and to Who? (Panel) | — |
| John Moran | DGIQ 2022 West | speaker | Lessons Learned Applying Data Governance to Product Lifecycle Management | — |
| John Moran | DGIQ 2022 West | keynote | Practitioners Share Their Best Practices and Lessons Learned (Panel) | — |
| Sean Patrick McCrary | AWS re:Invent 2019 | breakout | Predict future business outcomes using Amazon Forecast | Slides |