Datamics GmbH
Also listed as 2 other names
Datamics · Datamics/Macromedia Hochschule
Circuit mix
Where Datamics GmbH 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 & MLOps80%8 events
- Enterprise, analyst & AI expos10%1 event
- Python & R data science10%1 event
The year around now
Conferences where Datamics GmbH 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) | ||||||||
| data2day | ||||||||
| PyData |
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
Datamics GmbH 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 2
No speakers since 2024 or earlier, though the conference published speaker lists after that.
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 Datamics GmbH.
Speakers 27
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| René Brunner | MLcon Munich 2026 | speaker | An End-to-End MLOps Pipeline — Practical Experiences | — |
| René Brunner | MLcon Munich 2026 | speaker | Production Readiness Is a Feature: Guardrails for ML Systems | — |
| Saumya Goyal | MLcon Munich 2026 | speaker | You Can’t Improve What You Can’t See: Evaluating AI Agents and RAGs | — |
| Saumya Goyal | MLcon Amsterdam 2026 | speaker | You Can’t Improve What You Can’t See: Making LLMs Transparent & Accountable | — |
| Saumya Goyal | MLcon Berlin 2025 | speaker | You Can’t Improve What You Can’t See: Making LLMs Transparent & Accountable | — |
| Saumya Goyal | MLcon Berlin 2025 | workshop | Operationalizing GenAI Agents: Deployment, Orchestration & Observability with LangGraph, LangFuse & Airflow | — |
| Thomas Waller | MLcon Berlin 2025 | workshop | Operationalizing GenAI Agents: Deployment, Orchestration & Observability with LangGraph, LangFuse & Airflow | — |
| René Brunner | MLcon Munich 2025 | workshop | Streamlining Data Workflows with Voxel51 and Label Studio: A Hands-On Workshop | — |
| René Brunner | MLcon Munich 2025 | speaker | Experience with an end-to-end MLOps pipeline: Practical insights and 3D architectural perspectives | — |
| Saumya Goyal | MLcon Munich 2025 | workshop | Streamlining Data Workflows with Voxel51 and Label Studio: A Hands-On Workshop | — |
| René Brunner | data2day 2024 | talk | Erfahrungen mit einer End-to-End MLOps-Pipeline: Praktische Einblicke | — |
| René Brunner | MLcon Munich 2024 | speaker | AMA (ask me anything) Session with the ML Experts | — |
| René Brunner | MLcon Munich 2024 | speaker | Maximizing Data Quality in the MLOps Pipeline: Strategies and Best Practices | — |
| René Brunner | MLcon Munich 2024 | workshop | Workshop: MLFlow, LabelStudio, FiftyOne - Harnessing Tools for Efficient Machine Learning | — |
| René Brunner | MLcon Munich 2024 | speaker | An End-to-End MLOps Pipeline — Practical Experiences | — |
| Saumya Goyal | MLcon Munich 2024 | workshop | Workshop: MLFlow, LabelStudio, FiftyOne - Harnessing Tools for Efficient Machine Learning | — |
| Saumya Goyal | MLcon Munich 2024 | speaker | AMA (ask me anything) Session with the ML Experts | — |
| René Brunner | MLCON 2023 Berlin | speaker | Maximizing Data Quality in the MLOps Pipeline: Strategies and Best Practices | — |
| René Brunner | MLCON 2023 Berlin | workshop | Managing Machine Learning Lifecycle with MLflow and Apache Airflow | — |
| Saumya Goyal | MLCON 2023 Berlin | workshop | Managing Machine Learning Lifecycle with MLflow and Apache Airflow | — |
| René Brunner | MLCON 2023 Munich | workshop | Managing Machine Learning Lifecycle with MLflow and Apache Airflow | — |
| René Brunner | MLCON 2023 Munich | speaker | An End-to-End MLOps Pipeline — Practical Experiences | — |
| Saumya Goyal | MLCON 2023 Munich | workshop | Managing Machine Learning Lifecycle with MLflow and Apache Airflow | — |
| René Brunner | MLCON 2022 Berlin | speaker | Practical Experiences from setting up the complete MLOps pipeline | — |
| René Brunner | MLCON 2022 Berlin | workshop | MLOps with MLFlow Workshop | — |
| Saumya Goyal | MLCON 2022 Berlin | workshop | MLOps with MLFlow Workshop | — |
| T-Berger | PyCon DE & PyData Berlin 2022 | talk | Financial Portfolio Management with Deep Reinforcement Learning | — |