The business value of big data: opportunities and challenges
Information and communication technologies are used to store and analyze increasing amounts of digital data. Although numerous advantages are associated with big data, research on the business value of big data is scarce. This presentation will report on some projects undertook towards identifying opportunities for obtaining business value out of big data. Two models will be discussed, which provide support (e.g., to decision makers/ stakeholders) in understanding how to derive value from big data.
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I received my Ph.D. degree in Computer Science from University of Manchester in UK. Before joining TU Eindhoven, I worked as an assistant professor in the Department of Econometrics at Erasmus University Rotterdam. Earlier, I worked in the Algorithmics group at TU Delft, in the Computational Intelligence group at TU Clausthal (Germany), and in the Institute for Advanced Computer Studies at University of Maryland, College Park, USA.
I consider myself an “Artificial Intelligence” researcher. During my Ph.D and post-doc period, I developed algorithms and mechanisms to solve multi-agent problems, i.e., task allocation, planning and scheduling problems that involve cooperative or self-interested players. Over the past a few years, I have been also investigating how data can help to improve decision making and optimization. For example, I designed machine learning methods to learn bidders’ behaviour models, and used the learned models to optimize auction design.
At TUE, I will continue my research on data driven decision making, algorithm design, (computational) game theory, and multi-agent systems. In addition, I am looking forward to learning new knowledge, tackling new application domains, and establishing new cooperations!