Presented By O'Reilly and Cloudera
Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK
Josef Viehhauser

Josef Viehhauser
Data Scientist, BMW Group

Josef Viehhauser is a full stack data scientist at the BMW Group, where he leverages machine learning to create data-driven applications and improve established workflows along the company’s value chain. Josef also works on scoping and implementing such use cases in scalable ecosystems primarily via Python. Outside of work, he is interested in technological innovations and soccer.

Sessions

14:5515:35 Wednesday, 24 May 2017
Business case studies
Location: Capital Suite 7
Secondary topics:  AI, Deep learning, Logistics
Level: Intermediate
Josef Viehhauser (BMW Group), Dominik Schniertshauer (BMW Group)
Average rating: ****.
(4.60, 5 ratings)
Data-driven solutions based on machine and deep learning are gaining momentum in the automotive industry beyond autonomous driving. Josef Viehhauser and Dominik Schniertshauer explore use cases from the BMW Group where novel machine-learning pipelines (such as those based on XGBoost and convolutional neural nets, for example) support a broad variety of business stakeholders. Read more.