Keynote

10:30 - 11:00 | Sitzungssaal | German

Shaping liveable cities and regions: The smart city as a municipal task - Live translation available in English.

Renate Mittelhuber Smart Cities and Regions Division at the Federal Ministry of Housing, Urban Development and Building

Vita

Renate Mitterhuber has been Head of the Smart Cities and Regions Division at the Federal Ministry of Housing, Urban Development and Building since December 2021. Prior to that, she was head of the “Federal Portal; Portal Network; Business and Coordination Office 115” unit at the Federal Ministry of the Interior. The focus was on developing the digital infrastructure to implement the Online Access Act (OZG). From June 2017 to October 2019, Renate Mitterhuber was head of the IT Planning Council’s office. From 1991 to 2017, she worked in the Free and Hanseatic City of Hamburg, initially in staff positions in the education and finance departments and since 2001 in the area of digitalization. She was responsible for Hamburg’s e-government and IT strategy and was involved in setting up the Hamburg Open Data Portal and the Transparency Portal, among other things.

As part of Dataweek Leipzig, we cordially invite you to the keynote speech by the Federal Ministry of Housing, Urban Development and Building. The opening speech by Renate Mitterhuber will highlight the key role of the digital city in the practical implementation of urban development that is oriented towards the common good, productive and liveable. The focus will be on a current and practical insight into the federal government’s program for smart urban and regional development.

Keynote

11:00 - 11:30 | Sitzungssaal | German

Opening keynote for Data Week 2025 - Live translation available in English.

Prof. Dr. Miguel D. Mahecha Institute for Earth System Science and Remote Sensing

Vita

Miguel Mahecha is Professor of Environmental Data Science and Remote Sensing at the University of Leipzig and the Remote Sensing Centre for Earth System Research. His main scientific interest is understanding ecosystem responses to climate extremes and human-environment relationships during climate extremes. He also works on understanding macro-ecological dynamics and ecosystem functioning. His research is based on data-driven methods and high-dimensional Earth observations. In recent years, he has co-developed the concept of the Earth System Data Cube, which combines empirical methods with theoretical understanding to understand complex interactions in the Earth system. Miguel Mahecha is a member of the German Centre for Integrative Biodiversity Research (iDiv) and PI in the Centre for Scalable Data Analytics and Artificial Intelligence. He is a Fellow of the European Laboratory for Learning and Intelligent Systems.

Keynote

09:10 - 10:00 | Sitzungssaal | English

Using Knowledge Graphs to Document Cloud Native Products

Martin Blumbach Ericsson

Vita

Martin Blumbach is the lead architect for automating technical documentation of cloud native software products at Ericsson. He is working with the tool and abstract knowledge representation aspects of the content delivery pipeline. Martin has a long history as system architect of large scale Ericsson products and has over time developed an interest in their information architecture. He enjoys understanding technical concepts and making tacit knowledge explicit.

Cloud-native software products consist of individually lifecycled, frequently released, and flexibly assembled components known as “microservices”.

The Keynote presentation will be an exploration of how technical documentation for such products can be automated. The challenge for automation is that content must be lifecycled per microservice, but presented from the perspective of the product user, who “sees” features and use cases instead of microservices.

Keynote

10:00 - 10:30 | Sitzungssaal | English

Leveraging Knowledge Graphs and GenAI to Transform Enterprise Data into Actionable Insights

Dr. Andreas Pawlik Carl ZEISS AG

Vita

Dr. Andreas Pawlik is the lead of the Semantic Services team at ZEISS, where he develops innovative solutions in knowledge management, digital twins, and generative AI, utilizing knowledge graphs. Prior to joining ZEISS in 2021, he led a consulting team focused on big data, natural language processing and deep learning solutions and products across various industries and the public sector. He has a background as astrophysicist, where he developed supercomputer simulations and used them to investigate galaxy formation in the early universe.

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