Creating Data-driven Business Models
How can we support organizations in developing data-driven business models? This talk will take you on a journey of business model creation and example examiniation. It will touch on understanding your own data, examining ist quality, and perceiving it as a valuable asset as well as on methods from artificialy intelligence to generating insights and building “intelligent” systems.
Biography
Univ.-Prof. Dr. Stefanie Lindstaedt is the Head of the Institute for Interactive Systems & Data Science (ISDS) at Graz
University of Technology and CEO of Know-Center (www.know-center.at), Austria‘s leading Research Center for Data-driven business and Big Data Analytics. By annually undertaking more than 50 applied science projects Know-Center effectively bridges the gap between science and industry, already since 2001. Stefanie has an excellent track record in obtaining EU and Austrian funding (e.g. APOSDLE IP, MATURE IP, MIRROR IP, LAYERS IP, STELLAR NoE, OrganicLingua, EEXCESS, CODE, SemI40, …) and leading large interdisciplinary research projects and groups.
She has published more than 150 scientific papers in conferences and journals and supervised over 15 of Ph.D. theses. Since 2010 Stefanie is General Chair of the I-Know conference series (www.i-know.at), she acted as Program Chair of EDF 2015 and EC-TEL 2012 conferences. Stefanie earned her habilitation in Computer Science from Graz University of Technology (Austria), where she has been teaching undergraduate and graduate courses since 2002. She holds an M.S. and a Ph.D. in Computer Science from the University of Colorado at Boulder (USA). Before joining Know-Center, she led various projects at Daimler (Chrysler) Research in Ulm (Germany) and was a product manager for web-globalization services at GlobalSight in
Boulder (USA).
Stefanie is an interdisciplinary researcher in the fields of data-driven business and adaptive systems. She has a strong background in computer science, especially artificial intelligence. Her research focus is the integration of data-driven approaches (e.g., machine learning, neural networks) with knowledge-based models (e.g., ontologies, engineering models) and human computer interaction. On the business side, Stefanie has extensive industry experience in process and technical consulting, solution sales, marketing and organizational development for international companies.
Event Timeslots (1)
Monday, June 3
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Creating Data-driven Business Models