Stefan Wrobel

Institute Director, Fraunhofer IAIS & Univ. Bonn

Prof. Dr. Stefan Wrobel, M.S., is director of the Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS) and Professor of Computer Science at University of Bonn. He studied Computer Science in Bonn and Atlanta, GA, USA (M.S. degree, Georgia Institute of Technology), receiving his doctorate from University of Dortmund. After positions in Berlin and Sankt Augustin, he became Professor of Computer Science at University of Magdeburg, then moving to his current position into 2002. Professor Wrobel has published extensively on subjects in the area of Data Mining and Machine Learning and is on the Editorial Board of several journals in the field. Prof. Wrobel is chairman of the Fraunhofer Alliance Big Data, member of the board of BITKOM working group Big Data and speaker of the German Computer Society’s special interest group on Knowledge Discovery and Machine Learning. His research interests focus on intelligent algorithms and systems for the analysis of large data volumes and the impact of big data/smart data on companies and society. 

Talk Title: 
The Value of Big Data - From Data-Driven Enterprises to a Data-driven Economy
Talk Abstract: 

The phenomenon of Big Data has captured the imagination of businesses, public bodies and society as a whole. Technical advances in computer science seem to have made it possible to not only generate, transport and store, but also to analyze extremely large volumes of data in order to arrive at useful information, and corresponding gains in efficiency and competitiveness are expected to be a crucial factor for the future of our economies. Based on recent studies, the talk tries to assess just where we are along the road of actually realizing these benefits of big data. What is the actual uptake of Big Data in companies, and where can we expect the major obstacles? We formulate a number of key requirements for the future development of big data, both in terms of the research challenges that need to be met, as well as in terms of the bigger picture, looking at enablers that could lead to a data-driven economy.

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