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10.06.
Keynote
Opening keynote for Data Week 2025 - Live translation available in English.
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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.
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12.06.
Keynote
Using Knowledge Graphs to Document Cloud Native Products
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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.
About the Data Week Leipzig
Data Week Leipzig is a networking event that highlights the scientific, economic and social perspectives of data and its use. Representatives from authorities, industry, science and business will enter into a dialog.
We welcome the participants to Leipzig to get exciting insights in a week of events with numerous sessions. The latest trends and developments relating to the digital city and the use of artificial intelligence will be presented. There will be a special focus on climate and energy. There will also be the opportunity to take part in training sessions and workshops. One day will be dedicated to semantics and AI, and speakers will provide insights into how these technologies can contribute to a sustainable and resilient future.
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The organizers would also like to invite students, trainees and interested citizens to take a look behind the scenes or take part in the various training courses offered during Data Week Leipzig. You can look forward to a week of events with an inspiring program that also includes practical use cases.
Impressions of Data Week Leipzig 2024
An exciting week of events (15 - 19 April 2024) for start-ups, students and representatives from business, science and administration lies behind us. Over 530 participants networked in Leipzig's New Town Hall and exchanged ideas on the topics of artificial intelligence, digitalisation and data in the trade fair city. The more than 150 programme items included a total of 26 workshops, 10 training sessions and 77 presentations, in which participants had the opportunity to further develop their own skills and learn new things in the field of data management and AI applications. The daily programme was complemented by five exciting keynote presentations and various networking events in the evenings. The programme also included Data Science Mania, the KMI Transfer Day, the Urban Data Summit, the 12th Leipzig Semantic Web Day, the Health Datathon and the Jugend hackt event.
