– Room 2
Dennis Schulz is a Senior Consultant at TNG Technology Consulting. He holds a PhD in low temperature physics from the University of Heidelberg. Besides being a programmer, he organized and hosted the TV show Quasi Klar for RNF, published a book that was translated to Korean and Russian, and won Science Slam competitions all over Germany. As a part of the Innovation Hacking team at TNG, he worked on different AI showcases, fine-tuning embeddings, and data mining.
Thomas Hugle is a Senior Consultant with TNG Technology Consulting, with a focus on AI and frontend development. His PhD thesis at the Max-Planck-Institut für Kernphysik in Heidelberg was mostly about data analysis for the CONUS neutrino experiment and computer simulations of physical systems. Besides his work as a software consultant, he handles data mining projects, to apply his data analysis skills to the Spotify data of his colleagues, and gives talks about how to turn from a physicist into a software developer.
It's just a music app – but how much can one actually learn about a person when granted access to their Spotify data? In this talk, we present what we learned about our colleagues through their Spotify user data.
By leveraging the GDPR, we looked into various questions: How often do people lose or damage their phones? Where did they travel? And how regular are their sleep patterns? Alongside detailed insights into Spotify data, we provide a brief overview of the legal framework and examine how strictly other companies comply with the GDPR. While everyone in theory understands that data can hold immense power, this talk presents concrete examples – particularly given that we're dealing with what seems like just a music app.
A beginner's audience that would like to be entertained. :)
Programmet er oppdatert.