On 7 November 2024 Prof. Andreas Kipf from the University of Technology in Nuremberg gave a talk in the special lecture series of the Elite Graduate Program "Software Engineering". The talk focused on how machine learning techniques can be used to improve databases and data handling.
First Prof. Kipf discussed work on analyzing the workload in typical cloud storage solutions. Further work used the discovered repetitiveness of the queries to improve performance by leveraging caching techniques.
Then Prof. Kipf switched to research currently undertaken by his group at UTN. The project DataLoom uses large language models to support the input of datasets into databases. A final research focuses on using machine learning to improve data compression in databases.
Prof. Kipf is a graduate of the Elite Graduate Program "Software Engineering" and did his Ph.D. at TUM. He did research at the Massachusetts Institute of Technology (MIT) and the University of California in Berkeley and worked for Amazon Web Services before starting as professor at UTN.
Text: Elite Graduate Program "Software Engineering"
