MLops: from buzzword to reality | Arnaud Canu, Eulidia MLops: from buzzword to reality | Arnaud Canu, Eulidia
Cycle de valeur des scores | Virginie Lange & Vincent Gallmann, Floa Bank Cycle de valeur des scores | Virginie Lange & Vincent Gallmann, Floa Bank
Users Floating in Space: A Study in Recommendations | Tyler Neylon, Unbox Research Users Floating in Space: A Study in Recommendations | Tyler Neylon, Unbox Research
The pillars of an innovative data strategy | Nicolas & Steve, CMA CGM The pillars of an innovative data strategy | Nicolas & Steve, CMA CGM
Demokratisierung von Data Science bei Mercedes Benz Finance | Statworx, Mercedes Benz Demokratisierung von Data Science bei Mercedes Benz Finance | Statworx, Mercedes Benz
Ethics, Data Science, and Public Service Media | Ben Fields, BBC News Ethics, Data Science, and Public Service Media | Ben Fields, BBC News
Boosting operational efficiency thanks to Computer Vision | Cédric Le Quiliec & Jean-Baptiste Girardin, Malakoff Humanis Boosting operational efficiency thanks to Computer Vision | Cédric Le Quiliec & Jean-Baptiste Girardin, Malakoff Humanis
The Data Science Food Chain | Shaun McGirr, Dataiku The Data Science Food Chain | Shaun McGirr, Dataiku
Getting from 1 to 100 Users With Dataiku | Roberto Amador, Johnson & Johnson Getting from 1 to 100 Users With Dataiku | Roberto Amador, Johnson & Johnson
Collaborative Data Science at DAZN | Luke Clark & Andrea Salvati, DAZN Collaborative Data Science at DAZN | Luke Clark & Andrea Salvati, DAZN
KI 2.0: KI bei Non-Tech Unternehmen | Alexander Thamm, Alexander Thamm GmbH KI 2.0: KI bei Non-Tech Unternehmen | Alexander Thamm, Alexander Thamm GmbH
AI in the B2B customer journey | José Ramón Sánchez Martos, Telefónica AI in the B2B customer journey | José Ramón Sánchez Martos, Telefónica
The Law of Averages to Deal with Data Science Frustration | Adrian Badi, Demant The Law of Averages to Deal with Data Science Frustration | Adrian Badi, Demant
