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Navigating Big Data in the Blue Economy

Navigating Big Data 231003

Navigating Big Data: Leveraging Artificial Intelligence and Machine Learning to Transform Data into Valuable Insights in the Blue Economy

This seminar aims to address the challenges faced by companies and organizations in the blue economy when it comes to managing and extracting value from vast amounts of data. With the emergence of big data, artificial intelligence (AI), and machine learning (ML), there is an opportunity to turn this data deluge into actionable insights, driving innovation and sustainable growth. This event will bring together industry experts, practitioners, and researchers to discuss strategies, best practices, and practical solutions for effectively leveraging big data, AI, and ML in the blue economy.

Program (12:00 -19:00) Detailed Time Schedule FV
Part 1: Marine Data for the Digital Age
  • Kate Larkin, Head, EMODnet Secretariat  & Conor Delaney, Technical coordinator, EMODnet Secretariat –  EMODnet EU marine data services for the digital and global age
  • Lennert Tyberghein, Head VLIZ Marine Data Centre – Feeding the Marine Knowledge Graph: leveraging data for the blue economy and beyond
Part 2: Research & Development
  • Professor Bruno VolckaertNavigating the cloud-native jungle when choosing edge-cloud enablers
  • Professor Sofie Van HoeckeWind power forecasting using machine learning
  • Professor Guy de TréTrends, challenges and new developments in big data technology for decision making, past case study on sand extraction from the North Sea
  • Professor Christophe VandeviverAdvanced models selecting containers to fight drug smuggling at ports
  • Kurt Callewaert Valorisation Manager Howest – AI enhances cybersecurity by using machine learning and data analysis to improve threat detection and response, bolstering overall security
Part 3: Business cases and challenges
  • Kris Peeters  Founder and Ceo at Dataminded – 10 Mistakes in Data Programs
  • Dr. Tomas Van Oyen Founder at Prophesea – Data-driven meets process-based models, Helping engineers embrace data
  • Steven Boucque CTO E-Bo Enterprises – Offshare and its data challenges
  • Casimir Morobé Founder at Toqua – How Toqua’s AI models helped Euronav double the fuel savings potential of weather routing
  • Mario Matthys Founder at ULiA (UGent spin off), Big 3D and 4D data (3D + time) as input for Xtended Reality-applications
  • Ward De Muer Software Engineer at Exail, Unlocking the power of data for enhanced mine detection
Target audience:  companies active in the blue economy, students, researchers and professionals working on big data, AI and ML.
Key Topics:

Data Collection and Integration – Quality and Standardization: Ensuring accurate and consistent data – Big Data Processing and Storage in the Blue Economy – Privacy and Security: Safeguarding sensitive marine data – Machine Learning for Data Analysis and Insights – Visualization and Communication of Data Insights – Overcoming Challenges in Data Management and Analysis – Knowledge and Skills Gap: bridging expertise in data science and marine domains – Case Studies and Best Practices

Participation is free, but registration is obligatory and the maximum number of participants is limited




  • 17/10/2023
  • Bluebridge, Ostend Science Park, Wetenschapspark 1, Oostende
  • Organized by Ostend Science Park
Register here