Training Machines to Humanize Dating | Shanshan Ding, Hinge Training Machines to Humanize Dating | Shanshan Ding, Hinge
Which organizational strategies are required to innovate in production? | Sébastien Berard, Euronext Which organizational strategies are required to innovate in production? | Sébastien Berard, Euronext
Challenges et enjeux lors de l’opérationnalisation de projets data | Showroomprivé, Dataiku Challenges et enjeux lors de l’opérationnalisation de projets data | Showroomprivé, Dataiku
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
AI in the B2B customer journey | José Ramón Sánchez Martos, Telefónica AI in the B2B customer journey | José Ramón Sánchez Martos, Telefónica
Fueling Digital Transformation Within the Enterprise | Ayan Bhattacharya, Deloitte Fueling Digital Transformation Within the Enterprise | Ayan Bhattacharya, Deloitte
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 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
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
L’intelligence Artificielle Responsable Pour un Impact Positif | Bernard Ourghanlian, Microsoft L’intelligence Artificielle Responsable Pour un Impact Positif | Bernard Ourghanlian, Microsoft
Panel: Magical Experiences and Greater Well-Being | Panel with Disney, Warner Media, Blue Cross Blue Shield Panel: Magical Experiences and Greater Well-Being | Panel with Disney, Warner Media, Blue Cross Blue Shield
How to Make a Success of Data Science | Jan Teichmann, Zoopla How to Make a Success of Data Science | Jan Teichmann, Zoopla
Democratizing Automated Forecasting | Lukas Stroemsdoerfer, Mercedes-Benz Democratizing Automated Forecasting | Lukas Stroemsdoerfer, Mercedes-Benz
Diversity and Inclusion in Data Science | Noelle Silver, HackerU Diversity and Inclusion in Data Science | Noelle Silver, HackerU
Can We Make AI Likeable? | Florian Douetteau, Dataiku Can We Make AI Likeable? | Florian Douetteau, Dataiku
Cyber Risk Analytics: The Next Frontier | Paul Guthrie, Envelop Cyber Risk Analytics: The Next Frontier | Paul Guthrie, Envelop
From Silos to Self-Service: Data Transformation at GE Aviation | Jon Tudor, GE Aviation From Silos to Self-Service: Data Transformation at GE Aviation | Jon Tudor, GE Aviation
Pitfalls of Using ML for Fighting Online Abuse | David Freeman, Facebook Pitfalls of Using ML for Fighting Online Abuse | David Freeman, Facebook
What’s At Stake With Your Data Projects Operationalization? | Romain Fouache, Dataiku What’s At Stake With Your Data Projects Operationalization? | Romain Fouache, Dataiku
Navigating the Gender Pay Gap | Ben Montgomery, Dataiku Navigating the Gender Pay Gap | Ben Montgomery, Dataiku
Transformation data chez Engie GEM | Haga Rabekoto, ENGIE Transformation data chez Engie GEM | Haga Rabekoto, ENGIE
The AI Experts You Need Are Right Beneath Your Nose | Rachel Thomas, Fast.AI The AI Experts You Need Are Right Beneath Your Nose | Rachel Thomas, Fast.AI
Ethical Enterprise AI – A Guideline or Compass? | Martin Leijen, Rabobank Ethical Enterprise AI – A Guideline or Compass? | Martin Leijen, Rabobank
