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
Artificial Intelligence Nordic Data Science and Machine Learning Summit 2023 GenAI and RAI: Great Power, Great Responsibility – Daniel Wu, JPMorgan Chase & Co. November 6, 2023
Artificial Intelligence Nordic Data Science and Machine Learning Summit 2023 Keynote: The Perfect Couple: Large Language Models & Knowledge Graphs for Enhanced Knowledge Representation – Kristof Neys, Neo4j November 6, 2023
Artificial Intelligence Nordic Data Science and Machine Learning Summit 2023 Keynote: Co-creating with AI – Dr. Piotr Mirowski, DeepMind November 6, 2023
Artificial Intelligence Nordic Data Science and Machine Learning Summit 2023 Panel – Finding Value in the Age of Applied and Generative AI November 3, 2023
Artificial Intelligence Machine Learning Nordic Data Science and Machine Learning Summit 2023 Panel – How to Prepare for a Fast-Changing DS/ML/AI Landscape – Trends, Challenges and Opportunities November 2, 2023
