Tecnológico de Monterrey
Circuit mix
Where Tecnológico de Monterrey 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 expos67%3 events
- Python & R data science33%3 events
The year around now
Conferences where Tecnológico de Monterrey 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 |
|---|---|---|---|---|---|---|---|---|
| CDAO (Chief Data & Analytics Officer) Summits | ||||||||
| PyCon (national Python conferences) | ||||||||
| EuroPython |
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
FlatSponsored 1 conference in 2026, flat from 1 in 2022.
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.
- CDAO (Chief Data & Analytics Officer) Summits3 of 5 years 2022–26, Media tier
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 3 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| Big Data Analytics News | 3 | 100% |
| KDnuggets | 3 | 100% |
| The AI Journal | 2 | 67% |
| AI Time Journal | 2 | 67% |
| AI Tools Network | 2 | 67% |
| Aimojo | 2 | 67% |
| Asociación de Internet MX | 2 | 67% |
| BlockDelta | 2 | 67% |
| CDO Magazine | 2 | 67% |
| CIO Applications | 2 | 67% |
| Club CDO | 2 | 67% |
| The Data Pub | 2 | 67% |
| Datafloq | 2 | 67% |
| Datanami | 2 | 67% |
| Digital Agency Network | 2 | 67% |
Sponsorships 3
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| CDAO México 2026 | May 26, 2026 | Mexico City, Mexico | MEDIA PARTNERS | Media |
| CDAO Mexico 2025 | Jun 3–4, 2025 | Mexico City, Mexico | MEDIA PARTNERS | Media |
| CDAO Mexico 2022 | Jun 14–15, 2022 | Mexico City, Mexico | MEDIA PARTNERS | Media |
Speakers 3
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Ariel Ortiz | EuroPython 2024 | talk | From Diamonds to Mixins: Demystifying Multiple Inheritance in Python | Video |
| Ariel Ortiz | PyCon US 2022 | speaker | Match/case para principiantes | Video |
| Ariel Ortiz | PyCon US 2019 | speaker | The Perils of Inheritance: Why We Should Prefer Composition | Video |