Data Meshes & Context-Driven Machine Intelligence

Modern platforms are designed for federation, not control. This meetup explores how metadata platforms and data meshes enable autonomy without chaos, turning cross‑domain complexity into discoverability and speed.

Christian Junker (CTO, Data Lab Hell) shares hard‑won lessons on building systems teams use, moving beyond the “central brain” toward pragmatic, federated architecture. Expect guidance on moving beyond the “one warehouse to rule them all” toward an architecture that teams want to use.

The second talk by Daniel Hauser (CIO, Data Lab Hell) dives into context and attention as foundations for real‑world machine intelligence, spanning statistics, machine learning, sensor fusion, and non‑destructive metrology. Expect insights on digital twins, sim‑to‑real transfer, and deployable surrogate models and how these principles could prepare robotics for its own “ChatGPT moment”

Our agenda:
🤗 17:30 Opening doors
🎤 18:00 2 Talks by Cristian and Daniel
🥙 Get together

🗣️ About our speakers
Christian Junker is CTO at Data Lab Hell, where he shapes modern data platforms that connect research, industry, and machine intelligence. With a background spanning startup ventures and leadership in distributed systems, he has held key positions such as Head of Engineering, as well as founding new ventures himself. Always focusing on building scalable, open infrastructures. Christian combines hands-on engineering expertise with a strong product mindset, turning complex technical landscapes into enablers for innovation. At the intersection of domain-driven design, data mesh, and platform engineering, he brings a practitioner’s perspective on how to make systems both robust and adaptable.

Daniel Hauser is Chief Innovation Officer at Data Lab Hell, where he drives research and transfer activities at the intersection of science and industry. With a background as a PhD physicist, his career spans from manipulating cold molecules in fundamental research to laser-based 3D printing of glass and digitalization projects in the financial sector. At DLH, he works with an interdisciplinary team across software engineering, mathematics, physics, and computer science to turn bold ideas into scalable applications—ranging from physical processes and simulations to precision sensing, data science, and self-learning systems. He is responsible for building an Innovation Lab that brings these capabilities together and connects them with partners from academia and industry to ignite data-driven innovation.

Thanks for andamp for hosting us and sponsoring the event.