Nordic Data Science and Machine Learning Summit 2019 Engineering challenges in building operational AI and how to avoid them – Daniel Skantze, Peltarion byDonika ZendeliNovember 18, 2019
Nordic Data Science and Machine Learning Summit 2019 Feature attributions for sequence labelling neural networks – Josef Lindman Hörnlund, Modulai byDonika ZendeliNovember 18, 2019
Nordic Data Science and Machine Learning Summit 2019 Interacting with car data for failure patterns – Roshan Amasa, BMW Group byDonika ZendeliNovember 18, 2019
Nordic Data Science and Machine Learning Summit 2019 Continuous Intelligence – Intersecting Event-Based Business Logic and ML – Paris Carbone, RISE byDonika ZendeliNovember 18, 2019
Nordic Data Science and Machine Learning Summit 2019 Data Science powering the rail industry’s transformation – Kim Næss & Elena Salova, Hitachi Vantara byDonika ZendeliNovember 18, 2019
Nordic Data Science and Machine Learning Summit 2019 To deployment and beyond – Oskar Eriksson, DataRobot byDonika ZendeliNovember 18, 2019
Nordic Data Science and Machine Learning Summit 2019 Data driven car diagnostic with Tensorflow & Google Cloud Platform – Maggie Mhanna, Renault Digital byDonika ZendeliNovember 18, 2019
Nordic Data Science and Machine Learning Summit 2019 The Fake News Arms Race: How AI Can Create and Detect Fakes – Or Levi, AdVerif.ai byDonika ZendeliNovember 18, 2019
Nordic Data Science and Machine Learning Summit 2019 How to find the most relevant existing documents with the help of ML – Pauliina Erätuuli, Nokia byDonika ZendeliNovember 18, 2019
Nordic Data Science and Machine Learning Summit 2019 AI in the real world: combining best of tech with best of humanity – Elin Allison, Telia Company byDonika ZendeliNovember 18, 2019
