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 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
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
Can We Make AI Likeable? [in French] | Florian Douetteau, Dataiku Can We Make AI Likeable? [in French] | Florian Douetteau, Dataiku
Data Science Pioneers: Conquering the Next Frontier | Romain Doutrioux, Dataiku Data Science Pioneers: Conquering the Next Frontier | Romain Doutrioux, Dataiku
Cycle de valeur des scores | Virginie Lange & Vincent Gallmann, Floa Bank Cycle de valeur des scores | Virginie Lange & Vincent Gallmann, Floa Bank
Art and Creativity In the Age of AI | Ahmed Elgammal, Rutger University Art and Creativity In the Age of AI | Ahmed Elgammal, Rutger University
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
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
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
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
Democratizing Automated Forecasting | Lukas Stroemsdoerfer, Mercedes-Benz Democratizing Automated Forecasting | Lukas Stroemsdoerfer, Mercedes-Benz
The pillars of an innovative data strategy | Nicolas & Steve, CMA CGM The pillars of an innovative data strategy | Nicolas & Steve, CMA CGM
Users Floating in Space: A Study in Recommendations | Tyler Neylon, Unbox Research Users Floating in Space: A Study in Recommendations | Tyler Neylon, Unbox Research
AI in the B2B customer journey | José Ramón Sánchez Martos, Telefónica AI in the B2B customer journey | José Ramón Sánchez Martos, Telefónica
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
The 7 Powers of Machine Learning | Lucas Bernardi, Booking The 7 Powers of Machine Learning | Lucas Bernardi, Booking
Collaborative Data Science at DAZN | Luke Clark & Andrea Salvati, DAZN Collaborative Data Science at DAZN | Luke Clark & Andrea Salvati, DAZN
Le revenue management augmenté par l’IA | Benjamin Lalanne, Groupe Air France Le revenue management augmenté par l’IA | Benjamin Lalanne, Groupe Air France
The Data Science Food Chain | Shaun McGirr, Dataiku The Data Science Food Chain | Shaun McGirr, 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
