Fraunhofer IPA
Circuit mix
Where Fraunhofer IPA 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 expos50%2 events
- AI engineering & MLOps50%2 events
The year around now
Conferences where Fraunhofer IPA 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 |
|---|---|---|---|---|---|---|---|---|
| data2day | ||||||||
| Minds Mastering Machines (M3) |
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
Fraunhofer IPA has never sponsored a tracked conference, so this follows where its speakers appear instead.
UpHad speakers at 2 conferences in 2026, up from 1 in 2022.
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.
Too little history to tell a direction yet.
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 Fraunhofer IPA.
Speakers 4
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Danilo Brajovic | data2day 2026 | talk | Datenqualität für ML jenseits der Basics: Methoden, Tools und blinde Flecken | — |
| Marco Huber | Minds Mastering Machines 2026 | talk | Fake it till you make it: Synthetische Bilddatenerzeugung für industrielle Anwendungen | — |
| Marco Huber | Minds Mastering Machines 2022 | talk | Zuverlässige KI – Absicherung künstlicher neuronaler Netze | — |
| Nina Schaaf | data2day 2019 | talk | Explainable AI: Extraktion von Erklärungen aus tiefen neuronalen Netzen | — |