Artificial Intelligence Nordic Data Science and Machine Learning Summit 2023 Elevate Your Existing Models to Vertex AI – Lef Filippakis & Andrew Wu, Tink November 6, 2023
Artificial Intelligence Nordic Data Science and Machine Learning Summit 2023 Aim at Perfection and Fail – Sofie Perslow, Stylee Intelligence AB November 6, 2023
Artificial Intelligence Nordic Data Science and Machine Learning Summit 2023 Maturing on AI Our Learnings – Alberto Barroso & Anibal Sistac, Tetra Pak November 6, 2023
Data Science Nordic Data Science and Machine Learning Summit 2023 AI Act and Its Implications to Data Science, ML & AI Practices – Fredrik Heintz, Linköping University November 6, 2023
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 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
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
