Keynote: Explainable Artificial Intelligence in an Industrial Setting
Daniela Oelke, Siemens
Bio: Daniela Oelke is Senior Key Expert for Explainable Artificial Intelligence and Visual Analytics at Siemens. She is passionate about helping others to discover what is possible with (visual) data analysis and how it can be used in data-driven innovation projects. At IEEE VIS she serves as a VisInPractice co-chair aiming at a higher visibility and attractiveness of IEEE VIS for practitioners and creating a space for practitioners and researchers to meet and share experiences, insights, and ideas in applying visualization and visual analytics to real-world use cases. Prior to joining Siemens, Daniela Oelke was a research scientist at the DIPF (the German Institute for International Educational Research) in Frankfurt, Germany and the University of Konstanz, Germany. She received her Ph.D. in Computer Science from the University of Konstanz where her research focus was on Visual Document Analysis.