Datics Consulting
Circuit mix
Where Datics Consulting 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 & MLOps100%6 events
The year around now
Conferences where Datics Consulting 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 |
|---|---|---|---|---|---|---|---|---|
| MLCon (ML Conference) |
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
Datics Consulting 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.
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 Datics Consulting.
Speakers 9
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Eric Joachim Liese | MLcon Munich 2026 | speaker | An End-to-End MLOps Pipeline — Practical Experiences | — |
| Eric Joachim Liese | MLcon Munich 2025 | speaker | Experience with an end-to-end MLOps pipeline: Practical insights and 3D architectural perspectives | — |
| Eric Joachim Liese | MLcon Munich 2024 | speaker | AMA (ask me anything) Session with the ML Experts | — |
| Eric Joachim Liese | MLcon Munich 2024 | speaker | ML Exchange (ONSITE ONLY) | — |
| Eric Joachim Liese | MLcon Munich 2024 | speaker | Maximizing Data Quality in the MLOps Pipeline: Strategies and Best Practices | — |
| Eric Joachim Liese | MLcon Munich 2024 | speaker | An End-to-End MLOps Pipeline — Practical Experiences | — |
| Eric Joachim Liese | MLCON 2023 Berlin | speaker | Maximizing Data Quality in the MLOps Pipeline: Strategies and Best Practices | — |
| Eric Joachim Liese | MLCON 2023 Munich | speaker | An End-to-End MLOps Pipeline — Practical Experiences | — |
| Eric Joachim Liese | MLCON 2022 Berlin | speaker | Practical Experiences from setting up the complete MLOps pipeline | — |