Artificial Intelligence Nordic Data Science and Machine Learning Summit 2023 Building AI for Enterprise – Aischwarya Balan & Johan Fondin, Hewlett Packard Enterprise November 6, 2023
Artificial Intelligence Nordic Data Science and Machine Learning Summit 2023 Large Language Models for Building Recommender Systems: Opportunities and Challenges – Sumit Kumar, Meta (USA) November 6, 2023
Artificial Intelligence Nordic Data Science and Machine Learning Summit 2023 Keynote: DS & ML Everywhere – Dr. Kjell Carlsson, Domino Data Lab November 6, 2023
Artificial Intelligence Nordic Data Science and Machine Learning Summit 2023 Keynote: It’s All Fake! How Dangerous are High-quality Data Collections in Generative AI & Deep Fake? – Love Börjeson, National Library of Sweden November 6, 2023
Data Engineering Nordic Data Science and Machine Learning Summit 2023 Benefits of Organizational and Technical Consolidation of Data Engineering & Data Science in Danske Spil – Søren Klein, Danske Spil November 6, 2023
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
Artificial Intelligence Nordic Data Science and Machine Learning Summit 2023 Multilingual Transformer Model to Classify Guard Reports in Multiple Languages – Jonas Alström Mortin, Securitas Digital November 6, 2023
Artificial Intelligence Nordic Data Science and Machine Learning Summit 2023 AI & Ethics: The Challenge of Treating Fairness – Roberto Castellini, SCOR November 6, 2023
Artificial Intelligence Nordic Data Science and Machine Learning Summit 2023 State of AI Evaluation and its Role as AI Adoption Blocker at Scale – Julia Neagu, Quotient AI (former Director, GitHub Copilot Data) November 6, 2023
Artificial Intelligence Nordic Data Science and Machine Learning Summit 2023 GenAI in Gaming – Nico Perony, Unity November 6, 2023
