Machine Learning Nordic Data Science and Machine Learning Summit 2023 Building a Lakehouse: Leverage Open Table Formats for Unified Stream and Batch Architecture – Micha Kunze, Maersk November 6, 2023
Data 2030 Summit 2023 Data Management How Data Catalogue Improves Data Management and Governance – Diane Reynolds & Markus Buschle, SEB November 6, 2023
Data 2030 Summit 2023 Data Management Why Fremtind Moves from Centralized Warehouse to Domain-Oriented Architecture? – Kjetil R. Myrseth, Fremtind November 6, 2023
Data 2030 Summit 2023 Data Management Dare to Release the Power of Data – Valentina Niklasson, Volvo Penta November 6, 2023
Data 2030 Summit 2023 Data Management Supply Data Democratization Journey at Ericsson Group – Alex Astrogold, Ericsson – Supply November 6, 2023
Data 2030 Summit 2023 Data Management Massive Application and Data Sharing in Governments – Mads Hjorth, Danish Ministry of Immigration and Integration November 6, 2023
Data 2030 Summit 2023 Data Management Data Mesh: Navigate Advanced Frontiers for Architectural Excellence – Mahmoud Yassin, Booking.com November 6, 2023
Data 2030 Summit 2023 Data Management 10 Golden Rules of Data Management at ICA Sweden – Maaret Malinen and Tomas Köhlman from ICA Sweden November 6, 2023
Artificial Intelligence Monitor Data Foundation Aiding Digital Transformation – Discussion – Dr. Maria Papastathi, Jacques Vosloo & Anja Visser, Shell November 1, 2023
Artificial Intelligence Keynote: Design for Use, Deliver Value: Data Products Start from the Outside In – Dr. Jennifer Belissent, Snowflake November 1, 2023
