Nordic Data Science and Machine Learning Summit 2022 Rise of the Data Products Platform – Iker Martinez de Apellaniz, Adevinta November 28, 2022
Nordic Data Science and Machine Learning Summit 2022 Iterate on Data in Production – Safely – Micha Ben Achim Kunze, Maersk November 28, 2022
Data Science Machine Learning Nordic Data Science and Machine Learning Summit 2022 Building a DS/ML capability that scales for Enterprises – Dael Williamson, Databricks November 28, 2022
Nordic Data Science and Machine Learning Summit 2022 ML Training in Production at Meta – Shivam Bharuka, Meta November 28, 2022
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
