- Data Festival 2019
- Speaker 2019
- Programm 2019
- Pre-Conference Workshops
When talking about data science projects we often focus on algorithms and results. But when you start a data science project from scratch in a factory there are a lot of different problems that need to be tackled: where to install a sensor in order to get data, how to involve external parties as the maker of the machines, defining what is acceptable data quality…. In this talk I want to discuss the challenges we faced and what we learned when we used data science in the Fujitsu factory in Augsburg in order to improve run time and quality.
Alena Fojtík, Senior Data Scientist, Fujitsu TDS GmbH