Professor Hans Uszkoreit is Scientific Director at German Research Center for Artificial Intelligence (DFKI). He heads the Berlin site of DFKI and its Language Technology Lab. He has performed research in information extraction, crosslingual IR, question answering, parsing, machine translation and deep linguistic processing. Since March 2017 he is also Director and Chief Scientist of the new Artificial Intelligence Technology Center (AITC) in Beijing. Uszkoreit received his Ph.D. in 1984 from the University of Texas at Austin and then held research positions at Stanford University, SRI International and IBM Germany. From 1988-2015 he also worked as Professor for Computational Linguistics and Computer Science at Saarland University in Saarbruecken. Uszkoreit is Member of the European Academy of Sciences and of the International Committee of Computational Linguistics (ICCL). He is also Honorary Professor at Technische Universität Berlin and co-founder of several AI technology companies. His research is documented in more than 200 international publications.

Title ：Combining machine learning and knowledge-based interpretation for business intelligence applications

The keynote will present and discuss an approach to analyzing data from various sources for a range of business intelligence tasks such as supply chain monitoring, market research and product management. Our approach combines different types of machine learning and knowledge-based natural language understanding. It utilizes and enriches knowledge graphs and various other structured data resources. In order to handle large volumes of data robustly in near-real time, the textual analytics pipeline runs embedded in the open-source big-data analytics platform Apache Flink.