Navigating Big Data 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.
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
Part 2: Research & Development
Professor Bruno Volckaert – Navigating the cloud-native jungle when choosing edge-cloud enablers
Professor Sofie Van Hoecke – Wind power forecasting using machine learning
Professor Guy de Tré – Trends challenges and new developments in big data technology for decision making, past study case on sand extraction from the North Sea
Professor Christophe Vandeviver – Advanced models selecting containers fight drug smuggling at ports
Kurt Callewaert Valorisation Manager Howest – AI in cybersecurity leverages the power of machine learning and data analysis to augment traditional security measures
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
Casimir Morobe Founder at Toqua – How Toqua’s AI models helped Euronav double fuel the savings potential of weather routing
Mario Matthys Founder at ULiA (UGent spin off), Big 3D and 4D data (3D + time) as input for XR-applications
Detailed Time Schedule and more information see link
Target audience:
Companies active in the blue economy, students, researchers and professionals working on big data, AI and ML.
Participation is free, but registration is obligatory and the maximum number of participants is limited
