Artificial Intelligence Nordic Data Science and Machine Learning Summit 2023 Maturing on AI Our Learnings – Alberto Barroso & Anibal Sistac, Tetra Pak November 6, 2023
Artificial Intelligence Nordic Data Science and Machine Learning Summit 2023 Navigate the Generative AI Wave to Get Tangible Value – Mia Ryan, Lendo, Schibsted November 6, 2023
Data Science Nordic Data Science and Machine Learning Summit 2023 On a Mission to Mature Data Science at Telia: Navigate Challenges of Enterprise MLOps Adoption – Joel Larsson, Telia Company 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 WARA Media & Language: Build Ecosystem around Generative AI in Sweden – Johanna Björklund, Umeå University, WASP November 6, 2023
Artificial Intelligence Nordic Data Science and Machine Learning Summit 2023 Journey through Time: Evolution of Natural Language Processing and its Industrial Applications – Dr. Sahar Tahvili, Ericsson AB November 6, 2023
Artificial Intelligence Nordic Data Science and Machine Learning Summit 2023 Scalable and Adaptive System to Infer Industry Sectors of Companies: Prompt + Model Tuning of Generative Language Models – Lele Cao & Vilhelm von Ehrenheim, EQT November 6, 2023
Data Science Nordic Data Science and Machine Learning Summit 2023 Making Medicines Safer with Data Science – Jim W. Barrett, Uppsala Monitoring Centre November 6, 2023
Artificial Intelligence Nordic Data Science and Machine Learning Summit 2023 The Data Gap: Human-in-the-loop Strategies for Keeping a Model Relevant – Mikael Huss, Codon Consulting November 6, 2023
Artificial Intelligence Nordic Data Science and Machine Learning Summit 2023 Strategies for Monitoring & Retraining Language Models in Production – Laura Skylaki, Thomson Reuters Labs November 6, 2023
