Case Study
Monday, March 16
03:25 PM - 03:50 PM
Live in Munich
Less Details
Building an internal data ecosystem that scales effectively with customer-facing systems is key to unlocking strategic value in today’s data-driven landscape. This session explores how organisations can design resilient, interoperable data infrastructures that connect internal operations with external user interactions, enabling real-time insights, automation (including use of AI for natural language based data exploration), and innovation across business units. Discover how to align data architecture with customer needs while ensuring governance, scalability, and performance.
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Dr. Andreas Merentitis received the BSc, MSc, and PhD degrees from the Department of Informatics and Telecommunications, National Kapodistrian University of Athens (NKUA) in 2003, 2005, and 2010 respectively. He holds an award from the Greek Mathematical Society and received a scholarship as one of the two highest performing students in his year. Dr. Merentitis has participated in numerous European funded projects, as (sub-)workpackage leader of key activities. Between 2011-2015 he was Senior Data Scientist at AGT International. Between 2015-2017 he worked as Senior Data Scientist and Senior Research Scientist at Zalando SE. Since 2017 he is with OLX, first as Head of Data Science, then Director of Data Science and currently as Chief Data Officer Europe. He has more than 30 publications in the thematic area of machine learning, with more than 1000 combined citations. He was awarded an IEEE Certificate of Appreciation as a core member of the team that won the first place in the “Best Classification Challenge” of the 2013 IEEE GRSS Data Fusion Contest. He is a Senior Member of the IEEE and the IEEE Signal Processing Societies. He is a prize winner and has a master ranking in Kaggle.