Yong Shi, serves as the Director, Chinese Academy of Sciences Research Center on Fictitious Economy & Data Science and the Director of the Key Lab of Big Data Mining and Knowledge Management, Chinese Academy of Sciences. He has been the Isaacson Professor, the College of Information Science and Technology, University of Nebraska at Omaha, USA. He is the counselor of the State Council of PRC (2016), the elected member of the International Eurasian Academy of Science (2017), and elected fellow of the World Academy of Sciences for Advancement of Science in Developing Countries (2015). His research interests include business intelligence, data mining, and multiple criteria decision making. He has published more than 28 books, over 300 papers in various journals and numerous conferences/proceedings papers.

He is the Editor-in-Chief of International Journal of Information Technology and Decision Making (SCI), Editor-in-Chief of Annals of Data Science (Springer) and a member of Editorial Board for a number of academic journals. Dr. Shi has received many distinguished awards including Application Contribution Award of Chinese Society on System Science and System Engineering, 2016; Siwei Cheng Outstanding Research Award, Siwei Cheng Foundation, 2016; the Fellow of the World Academy of Sciences for developing countries, 2015; the Georg Cantor Award of the International Society on Multiple Criteria Decision Making (MCDM), 2009; Fudan Prize of Distinguished Contribution in Management, Fudan Premium Fund of Management, China, 2009; Outstanding Young Scientist Award, National Natural Science Foundation of China, 2001; and Speaker of Distinguished Visitors Program (DVP) for 1997-2000, IEEE Computer Society. He has also consulted or worked on business projects for a number of international companies in data mining and knowledge management.

Yong Shi, Key Lab of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing, China
Big Data has become a reality that no one can ignore. Big Data is our environment whenever we need to make a decision. Big Data is a buzz word that makes everyone understands how important it is. Big Data shows a big opportunity for academia, industry and government. Big Data then is a big challenge for all parties. This talk will discuss some challenges of Big Data analytics as well as Data Science, the scientific issues behind Big Data. Then, this talk will provide a number of real-life Big Data Applications.