Paris, France28-31 October 2019

Program > Keynote speakers

Prof. Dr. Sudha Ram

Title: Leveraging Artificial Intelligence and Big Data to create Enterprises of the Future

Abstract : The phenomenal growth of social media, mobile  applications, sensor based technologies and  the Internet of Things is generating a flood of  “Big Data” and disrupting our  world in many ways. Simultaneously, we are seeing many interesting developments in machine learning and Artificial Intelligence  (AI) technologies and methods. In this talk I will examine  the paradigm shift caused by recent developments in AI and Big Data and ways to harness their power to  create a smarter enterprise computing environment. Using examples from health care, smart cities, education, and businesses in general,   I  will  highlight  challenges and  research opportunities for developing an enterprise of the future.

Bio: Sudha Ram is Anheuser-Busch Endowed Professor of MIS, Entrepreneurship & Innovation in the Eller College of Management at the University of Arizona.  She has joint faculty appointments as Professor of Computer Science, member of BIO5 Institute, and Institute for Environment.  She is the director of  the INSITE: Center for Business Intelligence and Analytics at the University of Arizona.  Dr. Ram received a Ph.D.  from the University of Illinois at Urbana-Champaign in 1985.  Her research is in the areas of Enterprise Data Management, Business Intelligence, Large Scale Networks and  Big Data Analytics.  Her work uses different methods such as machine learning, statistical approaches, ontologies and conceptual modeling. Dr. Ram has published more than 200 research  articles in refereed journals, conferences and book chapters.

She has received more than $60 million in research funding from organizations such as, IBM, Intel Corporation, SAP, Ford, Raytheon Missile Systems, US ARMY, NIST, NSF, NASA, and Office of Research and Development of the CIA. Dr. Ram served as the senior editor for Information Systems Research, and is currently  a senior editor of Journal of AIS and on the editorial board for many leading Information Systems journals. She is also a co-editor in chief of the Journal on Data Semantics and a founding editor for Journal of Business Analytics. She is a cofounder of the Workshop on Information Technology and Systems (WITS) and serves on the steering committee of many workshops and conferences including the Entity Relationship Conference (ER).  Dr. Ram has published articles in such journals as Communications of the ACM, IEEE Expert, IEEE Transactions on Knowledge and Data Engineering, Information Systems, Journal of MIS,  Information Systems Research, Management Science, and MIS Quarterly.  

She received  the IBM faculty Development Award and UA Leading Edge Innovator in Research Award in 2007 and 2012.  She is a Fellow of the Association for Information Systems (AIS). Her research has been highlighted in several media outlets including UANEWS,  Arizona Alumni Magazine, International Journalism Festival,  NPR news, and New York Times. She was a  speaker for a TEDx talk in December 2013 on “Creating a Smarter World with Big Data”.  

For more information please  visit her  The University of Arizona or the INSITE research center.

 

Prof. Dr. Fabian M. Suchanek

Title: A hitchhiker’s guide to Ontology

Abstract: In this talk, I will give an overview of our recent work in the area of knowledge bases. I will first talk about our main project, the YAGO knowledge base. In this context, I will present our work on the automatic correction of regular expressions. I will then talk about knowledge mining. This includes rule mining (finding semantic correlations in the knowledge base), as well as predicting the completeness of the data in a knowledge base. I will then present our work on automatically correcting errors in Wikidata, and on translating SPARQL queries to Unix Bash commands. Finally, I will talk about applications of knowledge bases in the domain of computational creativity and the digital humanities.

Bio: Fabian M. Suchanek is a full professor at the Telecom Paris University in Paris. He obtained his PhD at the Max-Planck Institute for Informatics under the supervision of Gerhard Weikum. In his thesis, Fabian developed inter alia the knowledge base YAGO, one of the largest public general-purpose knowledge bases, which earned him a honorable mention of the SIGMOD dissertation award. Fabian was a postdoc at Microsoft Research in Silicon Valley (reporting to Rakesh Agrawal) and at INRIA Saclay/France (reporting to Serge Abiteboul). He continued as the leader of the Otto Hahn Research Group “Ontologies” at the Max-Planck Institute for Informatics in Germany. Since 2013, he is an associate professor at Télécom Paris University in Paris, and since 2016 a full professor. Fabian teaches classes on the Semantic Web, Information Extraction and Knowledge Representation in France, in Germany, and in Senegal. With his students, he works on information extraction, rule mining, ontology matching, and other topics related to large knowledge bases. He has published around 80 scientific articles, among others at ISWC, VLDB, SIGMOD, WWW, CIKM, ICDE, and SIGIR, and his work has been cited more than 9000 times. His 2007 paper on YAGO won the Test of Time Award of the WWW 2018 conference.

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