Rethinking GDPR: Examining the draft text from an SME provider perspective
Chapter contribution examining the GDPR reform draft text from the perspective of SME providers. Page range is not published yet.
🚀Dr. techn. Informatics
2019-09-01
2022-12-01
TU Wien
MSc in Business Informatics
2015-09-01
2018-06-01
TU Wien
BSc in Business Informatics
2012-09-01
2015-06-01
TU Wien
I am tackling challenging and impactful data challenges in industry and research. I blog about the local data stack and data related topics and organize local data meetups.
Sometimes, it looks crazy - but it is just complex!
Please reach out to for research collaborations 😃
Specialties: Data Architecture, Leadership, Software Engineering, Strategic Planning, Content Creation
Chapter contribution examining the GDPR reform draft text from the perspective of SME providers. Page range is not published yet.
Remarkably little is known about the structure, formation, and dynamics of supply- and production networks that form one foundation of society. Neither the resilience of these …
A small local example combining Polars, LanceDB, Metaxy metadata, Lance Graph Cypher, DuckPGQ, and LadybugDB.
The hard part of AI is not getting a model to perform in a demo. It is connecting it to real systems, giving it usable context, and keeping it under control once it matters.
AI coding agents increase output, but they also increase pressure on code review and branch management. Stacked pull requests and isolated worktrees help keep changes small and …
How to combine Metaxy, Dagster-Slurm, Docling, and Ray to run incremental multimodal pipelines on sovereign AI infrastructure.
Improving developer experience on HPC systems with dagster.
dagster-slurm is an open-source Python integration that allows data scientists and research software engineers to run Dagster pipeline assets on both a laptop and Slurm-managed HPC …
The AI era has shifted compute toward complex multimodal pipelines, where a small input or code change can trigger expensive downstream recomputation. This talk introduces Metaxy, …
Multimodal machine learning pipelines that process video, audio, and images incur substantial GPU costs. Existing data orchestrators operate at table or asset granularity: when any …
AI pipelines are now expensive enough that recomputing more than necessary is the dominant cost. Tokens and GPU hours change the economics, and agentic workflows branch and …
A walkthrough at the Docling Community Office Hours of how Jubust combines Docling for document parsing with Metaxy as an incremental, field-level metadata control plane to build …