Diversity and Inclusion in Data Science | Noelle Silver, HackerU Diversity and Inclusion in Data Science | Noelle Silver, HackerU
EGG AMS 2019 Opening Plenary | Hylke Visser, Dataiku EGG AMS 2019 Opening Plenary | Hylke Visser, Dataiku
Art and Creativity In the Age of AI | Ahmed Elgammal, Rutger University Art and Creativity In the Age of AI | Ahmed Elgammal, Rutger University
Getting from 1 to 100 Users With Dataiku | Roberto Amador, Johnson & Johnson Getting from 1 to 100 Users With Dataiku | Roberto Amador, Johnson & Johnson
Data, a factor of CRM transformation | Remi Mathieu & Alexis Miginiac, SNCF Data, a factor of CRM transformation | Remi Mathieu & Alexis Miginiac, SNCF
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
The pillars of an innovative data strategy | Nicolas & Steve, CMA CGM The pillars of an innovative data strategy | Nicolas & Steve, CMA CGM
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
Democratizing Automated Forecasting | Lukas Stroemsdoerfer, Mercedes-Benz Democratizing Automated Forecasting | Lukas Stroemsdoerfer, Mercedes-Benz
Conversational AI and NLP Use Cases at Uber | Franziska Bell, Uber Conversational AI and NLP Use Cases at Uber | Franziska Bell, Uber
Synthetic Data: How Do We Manage Them? | Armando Vieira, Hazy Synthetic Data: How Do We Manage Them? | Armando Vieira, Hazy
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
