Nordic Data Science and Machine Learning Summit 2022 Revenue Forecast for Growth Companies Using Scarce Time-Series Data – Lele Cao & Vilhelm von Ehrenheim, EQT Partners November 25, 2022
Nordic Data Science and Machine Learning Summit 2022 Become a Better Buyer — Things to think of when leveraging text analytics services – Fredrik Olsson, Gavagai November 25, 2022
Nordic Data Science and Machine Learning Summit 2022 ML in the wild – from discovery to production – Giovanna Miritello, Vodafone UK November 25, 2022
Nordic Data Science and Machine Learning Summit 2022 Deep learning on tabular data (the world’s most common type of data); is it worth it? – Mikael Huss, Codon Consulting November 25, 2022
Nordic Data Science and Machine Learning Summit 2022 Practical lessons from ICA’s cloud migration journey – Anna Baecklund, ICA November 25, 2022
Nordic Data Science and Machine Learning Summit 2022 Algorithmic Business Models, High Frequency Trading and eCommerce – Bjorn Hertzberg, Algorete November 25, 2022
Nordic Data Science and Machine Learning Summit 2022 AI-by-Design: A 6-step approach for building human-centred AI solutions – Ioannis Zempekakis, OLX Group & Serena Westra, AI-by-Design November 25, 2022
Nordic Data Science and Machine Learning Summit 2022 Designing human-centric AI – Kajsa Norin, Kajsa Norin AB November 25, 2022
Nordic Data Science and Machine Learning Summit 2022 In Search of the Future: What Sci-fi Can Teach Us About the Perils of AI and How to Solve the Alignment Problem – Jesper Nordström, Nordea November 25, 2022
