The Data Science Food Chain | Shaun McGirr, Dataiku The Data Science Food Chain | Shaun McGirr, Dataiku
Diversity and Inclusion in Data Science | Noelle Silver, HackerU Diversity and Inclusion in Data Science | Noelle Silver, HackerU
Can We Make AI Likeable? [in French] | Florian Douetteau, Dataiku Can We Make AI Likeable? [in French] | Florian Douetteau, Dataiku
Democratizing Automated Forecasting | Lukas Stroemsdoerfer, Mercedes-Benz Democratizing Automated Forecasting | Lukas Stroemsdoerfer, Mercedes-Benz
Getting from 1 to 100 Users With Dataiku | Roberto Amador, Johnson & Johnson Getting from 1 to 100 Users With Dataiku | Roberto Amador, Johnson & Johnson
Art and Creativity In the Age of AI | Ahmed Elgammal, Rutger University Art and Creativity In the Age of AI | Ahmed Elgammal, Rutger University
Conversational AI and NLP Use Cases at Uber | Franziska Bell, Uber Conversational AI and NLP Use Cases at Uber | Franziska Bell, Uber
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
Fueling Digital Transformation Within the Enterprise | Ayan Bhattacharya, Deloitte Fueling Digital Transformation Within the Enterprise | Ayan Bhattacharya, Deloitte
Synthetic Data: How Do We Manage Them? | Armando Vieira, Hazy Synthetic Data: How Do We Manage Them? | Armando Vieira, Hazy
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
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
