Nordic Data Science and Machine Learning Summit 2022 Where to start after you have a great ML model – MLOps Battlefiled stories – Oswaldo Gomez, Roche November 25, 2022
Nordic Data Science and Machine Learning Summit 2022 Computer Vision at Shell – Siva Chamarti, Chaitanya Katukuri & Natarajan Kalidos, Shell November 25, 2022
Nordic Data Science and Machine Learning Summit 2022 Premium Towards a Swedish Video-Sound-Text Transformer – leveraging on TV broadcasts at the National Library of Sweden – Love Börjeson, National Library of Sweden (KB) November 25, 2022
Nordic Data Science and Machine Learning Summit 2022 Utilizing Advanced Marketing Analytics for Sales Optimization – Peter Vester, Novo Nordisk November 25, 2022
Nordic Data Science and Machine Learning Summit 2022 Journey from manual towards automated car damage assessment – Vladimir Tripkovic, Topdanmark November 25, 2022
Nordic Data Science and Machine Learning Summit 2022 Full life cycle of NLP models to get insights from the employee feedbacks continuously – Busra Cikla, ING November 25, 2022
Nordic Data Science and Machine Learning Summit 2022 Our model stopped working! Now what? A credit card fraud multi-persona MLOPs story – Iulia Feroli, Dataiku November 25, 2022
Nordic Data Science and Machine Learning Summit 2022 APIs: They matter more than you think in Machine Learning – Pavlos Mitsoulis, King November 25, 2022
Nordic Data Science and Machine Learning Summit 2022 How Rovio Personalizes Angry Birds Games Using Reinforcement Learning – Ignacio Amaya de la Peña, Rovio November 25, 2022
Nordic Data Science and Machine Learning Summit 2022 How Graph Data Science can turbocharge your Knowledge Graph – Kristof Neys, Neo4j November 25, 2022
