L’intelligence Artificielle Responsable Pour un Impact Positif | Bernard Ourghanlian, Microsoft L’intelligence Artificielle Responsable Pour un Impact Positif | Bernard Ourghanlian, Microsoft
Augmented Human Intelligence | Walid Mehanna, Daimler Augmented Human Intelligence | Walid Mehanna, Daimler
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
The Spirit of the City: Capturing Network-Generated Data for Better Cities | Luca Maria Aiello, Nokia Bell Labs The Spirit of the City: Capturing Network-Generated Data for Better Cities | Luca Maria Aiello, Nokia Bell Labs
What’s At Stake With Your Data Projects Operationalization? | Romain Fouache, Dataiku What’s At Stake With Your Data Projects Operationalization? | Romain Fouache, Dataiku
The 7 Powers of Machine Learning | Lucas Bernardi, Booking The 7 Powers of Machine Learning | Lucas Bernardi, Booking
Can We Make AI Likeable? | Florian Douetteau, Dataiku Can We Make AI Likeable? | Florian Douetteau, Dataiku
Training Machines to Humanize Dating | Shanshan Ding, Hinge Training Machines to Humanize Dating | Shanshan Ding, Hinge
Le revenue management augmenté par l’IA | Benjamin Lalanne, Groupe Air France Le revenue management augmenté par l’IA | Benjamin Lalanne, Groupe Air France
Can We Make AI Likeable? [in French] | Florian Douetteau, Dataiku Can We Make AI Likeable? [in French] | Florian Douetteau, 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
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
Becoming an Intelligent Organization in the Age of AI | Jeff McMillan, Morgan Stanley Becoming an Intelligent Organization in the Age of AI | Jeff McMillan, Morgan Stanley
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
Democratizing Automated Forecasting | Lukas Stroemsdoerfer, Mercedes-Benz Democratizing Automated Forecasting | Lukas Stroemsdoerfer, Mercedes-Benz
How Rabobank Boosts Sustainable AI Acceleration | Martin Leijen Architect, Rabobank How Rabobank Boosts Sustainable AI Acceleration | Martin Leijen Architect, Rabobank
La mise en production de vos projets data avec Docker & Kubernetes | Jean-Bernard Jansen, Dataiku La mise en production de vos projets data avec Docker & Kubernetes | Jean-Bernard Jansen, Dataiku
GDPR & the ICO’s AI Auditing Framework | Ali Shah, ICO GDPR & the ICO’s AI Auditing Framework | Ali Shah, ICO
Quelle place occupe la data au sein du Groupe La Poste | Pierre-Etienne Bardi, Groupe La Poste Quelle place occupe la data au sein du Groupe La Poste | Pierre-Etienne Bardi, Groupe La Poste
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
Transformation data chez Engie GEM | Haga Rabekoto, ENGIE Transformation data chez Engie GEM | Haga Rabekoto, ENGIE
Stakeholder Management: A Data Scientist’s Perspective | Denis Fragkakis, IG Index Stakeholder Management: A Data Scientist’s Perspective | Denis Fragkakis, IG Index
Developing ML-Driven Customer Facing Products at Square | Marsal Gavalda, Square Developing ML-Driven Customer Facing Products at Square | Marsal Gavalda, Square
