Featureform
Circuit mix
Where Featureform shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- AI engineering & MLOps43%3 events
- Vendor flagships & roadshows29%2 events
- Modern data stack & practitioner29%4 events
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 | 2027 | 2028 |
|---|---|---|---|---|---|---|---|---|---|---|
| MLOps World (Machine Learning in Production) | ||||||||||
| Data + AI Summit | ||||||||||
| DataEngBytes | ||||||||||
| Data Council |
Activity by year
Three measures on one year axis; each panel has its own scale. 2027, 2028 is still mostly ahead, so its bars are faded and incomplete.
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.
- Gold
- Silver
- Bronze
- Other / unlabeled
Where they've grown or pulled back
DownNothing recorded in 2026; sponsored 2 conferences 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 2
Sponsored in most years of its span at the same tier.
- Data + AI Summitevery year 2023–24, mostly Bronze
- MLOps World (Machine Learning in Production)every year 2022–24, mostly Silver
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).
- Aporia0.73
- Guardrails AI0.72
- bem0.70
- Fennel0.66
- Tenstorrent0.66
- Zipline AI0.65
- Tavily0.65
- Tecton0.64
0 Cluster: ODSC · MLOps World circuit →
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 5 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| Aporia | 4 | 80% |
| IBM | 4 | 80% |
| Tecton | 4 | 80% |
| Amazon Web Services | 3 | 60% |
| 3 | 60% | |
| lakeFS | 3 | 60% |
| Robust Intelligence | 3 | 60% |
| VESSL AI | 3 | 60% |
| Acceldata | 2 | 40% |
| Accenture | 2 | 40% |
| AccuWeather | 2 | 40% |
| ActionIQ | 2 | 40% |
| Airbyte | 2 | 40% |
| AITX Community | 2 | 40% |
| Alation | 2 | 40% |
Neighborhood: companies with nearby conference footprints
Featureform (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 5
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| 5th Annual MLOps World and Generative AI World Conference 2024 | Nov 7–8, 2024 | Austin, United States | Silver Sponsors | Silver |
| Data + AI Summit 2024 | Jun 10–13, 2024 | San Francisco, United States | Explorer | Other |
| 4th Annual MLOps World Conference & Expo 2023 | Oct 25–26, 2023 | Austin, United States | Gold Sponsors | Gold |
| Data + AI Summit 2023 | Jun 26–29, 2023 | San Francisco, United States | Bronze Sponsors | Bronze |
| 3rd Annual MLOps World 2022 | Jun 9–10, 2022 | Toronto, Canada | Silver Sponsors | Silver |
Speakers 13
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Simba Khadder | 5th Annual MLOps World and Generative AI World Conference 2024 | speaker | ML Feature Lakehouse: Empowering Data Scientists to Build Petabyte-Scale Pipelines with Iceberg | — |
| Simba Khadder | 4th Annual MLOps World Conference & Expo 2023 | workshop (virtual) | Feature Stores in Practice: Train and Deploy an End-to-End Fraud Detection Model with Featureform, Redis, and AWS | — |
| Simba Khadder | 4th Annual MLOps World Conference & Expo 2023 | lightning | Feature Store are NOT about Storing Features | — |
| Mikiko Bazeley | DataEngBytes 2023 Melbourne | panelist | Melbourne MLOps Panel | Video |
| Mikiko Bazeley | DataEngBytes 2023 Melbourne | speaker | Featurization & Feature Stores: A Crash Course In The ML Lifecycle & MLOps | Video |
| Mikiko Bazeley | DataEngBytes 2023 Brisbane | speaker | How The Full-Stack Data Scientist Is STILL The Sexiest Job | Video |
| Mikiko Bazeley | DataEngBytes 2023 Brisbane | panelist | Brisbane Panel Discussion | Video |
| Mikiko Bazeley | DataEngBytes 2023 Sydney | panelist | Sydney MLOps Panel Discussion | Video |
| Mikiko Bazeley | DataEngBytes 2023 Sydney | speaker | MLOps Beyond LLMs | Video |
| Mikiko Bazeley | Data Council Austin '23 | talk | The Fun-Sized MLOps Stack from Scratch | — |
| Shabnam Mokhtarani | 3rd Annual MLOps World 2022 | speaker | The Future of Feature Stores | — |
| Simba Khadder | 3rd Annual MLOps World 2022 | speaker | The Future of Feature Stores | — |
| Simba Khadder | 3rd Annual MLOps World 2022 | speaker | An Introduction to Featureform, the Virtual Feature Store | — |