The growth of increasingly large datasets offers both opportunities and challenges across a growing number of industries. On the one hand, the ability to gather and analyze data offers the chance to design and manufacture better products faster and make work processes function more efficiently. On the other hand, this situation poses an enormous technical challenge of how to manage growing amounts of data and to understand how new kinds of computational methods can be best applied to generate useful insights.
Sep 25, 2020
AI & Data Analytics
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To address these questions, the Supercomputing-Akademie has just launched a new course module, titled Data: Management and Analysis. Offered electronically over 12 weeks, the module will provide professionals in industry with the basic skills needed to address their data-related challenges.
In the first half of the module, a team led by Dr. Thomas Bönisch of the High-Performance Computing Center Stuttgart (HLRS) will address technical fundamentals of data storage, including ontologies and the design of metadata models, as well as tools for managing large data repositories. Additionally, the course will consider the theme of dark data and legal and privacy issues.
In the second half, HLRS's Dennis Hoppe and colleagues will explore the use of artificial intelligence for analyzing large datasets. Topics discussed will include state-of-the-art container and database technologies, as well as approaches for explorative data analysis. Instruction will also consider fundamentals of machine learning, including neural networks and deep learning, as well as new trends at the intersection of AI and high-performance computing.
The new module is the last of seven training modules developed by the Supercomputing-Akademie in its initial launch phase. The continuing education program, created in conjunction with the project "Modular Continuing Education for HPC Expertise (MoeWE)" has been sponsored by the Baden-Württemberg Ministry of Social Affairs and Integration with the support of the European Social Fund and the Baden-Württemberg Ministry of Science, Research, and Art.
The Supercomputing-Akademie is currently planning the continuation of its course program in 2021 once its initial start-up phase concludes.
— Christopher Williams
High-Performance Computing Center Stuttgart
Nobelstraße 19, 70569 Stuttgart, Germany
+49 (0) 711 / 685-87 209
A member of the Gauss Centre for Supercomputing, HLRS is one of three German national centers for high-performance computing.
HLRS is a central unit of the University of Stuttgart.