The Data Science Food Chain | Shaun McGirr, Dataiku The Data Science Food Chain | Shaun McGirr, Dataiku
Online Conversion Modeling Combining CRM-Data and Online Behavior | DPG Media Online Conversion Modeling Combining CRM-Data and Online Behavior | DPG Media
Le revenue management augmenté par l’IA | Benjamin Lalanne, Groupe Air France Le revenue management augmenté par l’IA | Benjamin Lalanne, Groupe Air France
Data, a factor of CRM transformation | Remi Mathieu & Alexis Miginiac, SNCF Data, a factor of CRM transformation | Remi Mathieu & Alexis Miginiac, SNCF
MLops: from buzzword to reality | Arnaud Canu, Eulidia MLops: from buzzword to reality | Arnaud Canu, Eulidia
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
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
Can We Make AI Likeable? [in French] | Florian Douetteau, Dataiku Can We Make AI Likeable? [in French] | Florian Douetteau, Dataiku
Cycle de valeur des scores | Virginie Lange & Vincent Gallmann, Floa Bank Cycle de valeur des scores | Virginie Lange & Vincent Gallmann, Floa Bank
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
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
Data Science Pioneers: Conquering the Next Frontier | Romain Doutrioux, Dataiku Data Science Pioneers: Conquering the Next Frontier | Romain Doutrioux, Dataiku
The data science challenges in the European SESAME project | Igor Girard-Carrabin & William Lacheny, ArianeGroup The data science challenges in the European SESAME project | Igor Girard-Carrabin & William Lacheny, ArianeGroup
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
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
Synthetic Data: How Do We Manage Them? | Armando Vieira, Hazy Synthetic Data: How Do We Manage Them? | Armando Vieira, Hazy
AI in the B2B customer journey | José Ramón Sánchez Martos, Telefónica AI in the B2B customer journey | José Ramón Sánchez Martos, Telefónica
Users Floating in Space: A Study in Recommendations | Tyler Neylon, Unbox Research Users Floating in Space: A Study in Recommendations | Tyler Neylon, Unbox Research
Getting from 1 to 100 Users With Dataiku | Roberto Amador, Johnson & Johnson Getting from 1 to 100 Users With Dataiku | Roberto Amador, Johnson & Johnson
Diversity and Inclusion in Data Science | Noelle Silver, HackerU Diversity and Inclusion in Data Science | Noelle Silver, HackerU
Conversational AI and NLP Use Cases at Uber | Franziska Bell, Uber Conversational AI and NLP Use Cases at Uber | Franziska Bell, Uber
Demokratisierung von Data Science bei Mercedes Benz Finance | Statworx, Mercedes Benz Demokratisierung von Data Science bei Mercedes Benz Finance | Statworx, Mercedes Benz
