About Ksenia Podoynitsyna
Dr. Ksenia Podoynitsyna is Associate Professor of Data-Driven Entrepreneurship at JADS, the Joint Institute of Tilburg University and the Eindhoven University of Technology. She also serves as the Program Director for the master “Data Science and Entrepreneurship” and is the Data Entrepreneurship research unit head @ JADS. Her research focuses on the ways data allows to create and capture value through innovative business models, ecosystems, and platforms, and on risk and uncertainty management in new organizations. Ksenia is keen on doing research with clear business and societal implications, such as in Ph.D. projects funded by the EU, EIT KIC InnoEnergy, Philips, CZ, and KPN. Furthermore, she has published in the leading entrepreneurship and management journals, including Strategic Management Journal, Journal of Business Venturing, Entrepreneurship Theory and Practice, Journal of Product Innovation Management, and California Management Review. Ksenia got her Ph.D. from Eindhoven University of Technology (2008), and her dissertation was nominated for the prestigious Heizer dissertation award of the Academy of Management.
One of the favorite hands-on exercises I use while teaching is to ask participants to map out the business models of Amazon. For once, this illuminates the powerful synergies between its business models, which allowed Amazon to become what it is right now. And inevitably we talk about the dangers of the big tech firms.
She selected the recent DW documentary called “Google, Facebook, Amazon – The rise of the mega-corporations” to continue the discussion on how the big tech firms impactvarious markets, businesses, and citizens. The film will be introduced through an interactive lecture based on the projectsdone by the Data Entrepreneurship research unit of JADS.
AI can infinitely increase our potential for great good but it is already capable of contributing towards total surveillance states and a distortion of truth. AI development is hurtling forward with tech companies affiliated to the defence industry and algorithms in law enforcement enhancing existing biases. Will we allow the use of such powerful technology to open an unchecked Pandora’s Box dictating our future?