Lunch Lecture: Dr. Christoph Lofi

Challenges in Data Engineering: Why deploying AI Systems is harder than you think!

This Lunch Lecture about challenges in data engineering will be given by one of our own teachers: Dr. Christoph Lofi, Assistant Professor at the Web Information Systems group of EEMCS. Our CSE students may know him from the first year course ‘Information and Data Management’, where is he famous for his interesting Detour slides!

While there is a lot of public focus on the development of fancy machine learning algorithms, AI systems typically require large high-quality data sets for training, validation, and testing. However, such data sets are hard to come by, and are often fragmented, biased, incomplete, low quality, unfit for the task, or even simply wrong. Many issues with modern machine learning systems can be traced back to issues in the underlying data. In this lecture, there will be a quick overview of different Data Engineering challenges and top-level methods which try to compensate for these problems.

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