Generative Adversarial Networks for Finance | Alexandre Hubert, Dataiku Generative Adversarial Networks for Finance | Alexandre Hubert, Dataiku
AI in Retail: Building a Brilliant Shoe Discovery System | Antonis Argyros, SafeSize AI in Retail: Building a Brilliant Shoe Discovery System | Antonis Argyros, SafeSize
Users Floating in Space: A Study in Recommendations | Tyler Neylon, Unbox Research Users Floating in Space: A Study in Recommendations | Tyler Neylon, Unbox Research
Data, a factor of CRM transformation | Remi Mathieu & Alexis Miginiac, SNCF Data, a factor of CRM transformation | Remi Mathieu & Alexis Miginiac, SNCF
Online Conversion Modeling Combining CRM-Data and Online Behavior | DPG Media Online Conversion Modeling Combining CRM-Data and Online Behavior | DPG Media
How to reposition a data mining team in a data center of excellence | Arnaud Foujols, Monoprix How to reposition a data mining team in a data center of excellence | Arnaud Foujols, Monoprix
MLops: from buzzword to reality | Arnaud Canu, Eulidia MLops: from buzzword to reality | Arnaud Canu, Eulidia
Synthetic Data: How Do We Manage Them? | Armando Vieira, Hazy Synthetic Data: How Do We Manage Them? | Armando Vieira, Hazy
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
Cycle de valeur des scores | Virginie Lange & Vincent Gallmann, Floa Bank Cycle de valeur des scores | Virginie Lange & Vincent Gallmann, Floa Bank
What is to be Done When Everything Can be Faked | Shaun McGirr, Cox Automotive UK What is to be Done When Everything Can be Faked | Shaun McGirr, Cox Automotive UK
Getting from 1 to 100 Users With Dataiku | Roberto Amador, Johnson & Johnson Getting from 1 to 100 Users With Dataiku | Roberto Amador, Johnson & Johnson
The pillars of an innovative data strategy | Nicolas & Steve, CMA CGM The pillars of an innovative data strategy | Nicolas & Steve, CMA CGM
How to push a customer scoring system to production with a reduced data science team | Hayet Bezzeghoud & Adrien Basso-Blandin, Finexkap How to push a customer scoring system to production with a reduced data science team | Hayet Bezzeghoud & Adrien Basso-Blandin, Finexkap
Demokratisierung von Data Science bei Mercedes Benz Finance | Statworx, Mercedes Benz Demokratisierung von Data Science bei Mercedes Benz Finance | Statworx, Mercedes Benz
Cleaner Oceans Through AI and Data Science | Bruno Sainte-Rose, The Ocean Cleanup Cleaner Oceans Through AI and Data Science | Bruno Sainte-Rose, The Ocean Cleanup
Democratizing Automated Forecasting | Lukas Stroemsdoerfer, Mercedes-Benz Democratizing Automated Forecasting | Lukas Stroemsdoerfer, Mercedes-Benz
Art and Creativity In the Age of AI | Ahmed Elgammal, Rutger University Art and Creativity In the Age of AI | Ahmed Elgammal, Rutger University
Von der Automatisierung zur Autonomie: Wie kann KI die Transformation unterstützen? | Jan R. Seyler, Festo AG & Co. KG Von der Automatisierung zur Autonomie: Wie kann KI die Transformation unterstützen? | Jan R. Seyler, Festo AG & Co. KG
The Data Science Food Chain | Shaun McGirr, Dataiku The Data Science Food Chain | Shaun McGirr, Dataiku
La mise en production de vos projets data avec Docker & Kubernetes | Jean-Bernard Jansen, Dataiku La mise en production de vos projets data avec Docker & Kubernetes | Jean-Bernard Jansen, Dataiku
AI in the B2B customer journey | José Ramón Sánchez Martos, Telefónica AI in the B2B customer journey | José Ramón Sánchez Martos, Telefónica
Collaborative Data Science at DAZN | Luke Clark & Andrea Salvati, DAZN Collaborative Data Science at DAZN | Luke Clark & Andrea Salvati, DAZN
