How to Make a Success of Data Science | Jan Teichmann, Zoopla How to Make a Success of Data Science | Jan Teichmann, Zoopla
Demokratisierung von Data Science bei Mercedes Benz Finance | Statworx, Mercedes Benz Demokratisierung von Data Science bei Mercedes Benz Finance | Statworx, Mercedes Benz
Bringing Responsibility and Tech Ethics into the Organization | David Ryan Polgar, All Tech is Human Bringing Responsibility and Tech Ethics into the Organization | David Ryan Polgar, All Tech is Human
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
Livestream with Enrico Santus | Challenges and Opportunities to Improve the Healthcare System Livestream with Enrico Santus | Challenges and Opportunities to Improve the Healthcare System
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
Art and Creativity In the Age of AI | Ahmed Elgammal, Rutger University Art and Creativity In the Age of AI | Ahmed Elgammal, Rutger University
A Glance at ADA: Aviva’s Algorithmic Decision Agent | Damian Rumble, Aviva A Glance at ADA: Aviva’s Algorithmic Decision Agent | Damian Rumble, Aviva
Collaborative Data Science at DAZN | Luke Clark & Andrea Salvati, DAZN Collaborative Data Science at DAZN | Luke Clark & Andrea Salvati, DAZN
Training Machines to Humanize Dating | Shanshan Ding, Hinge Training Machines to Humanize Dating | Shanshan Ding, Hinge
Convenient and Flexible ML Pipelines with Kubeflow | Mattias Arro, Subspace AI Convenient and Flexible ML Pipelines with Kubeflow | Mattias Arro, Subspace AI
AI et Data à l’UNICEF – Pour Quelles Innovations? | Hubert Chaminade, UNICEF AI et Data à l’UNICEF – Pour Quelles Innovations? | Hubert Chaminade, UNICEF
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
Building a Highly Effective People Analytics Team at Barclays | Jésus Rogel-Salazar, Barclays Building a Highly Effective People Analytics Team at Barclays | Jésus Rogel-Salazar, Barclays
Livestream with Santo Fortebuono | Maximizing Impact with Self-service Analytics Livestream with Santo Fortebuono | Maximizing Impact with Self-service Analytics
Which organizational strategies are required to innovate in production? | Sébastien Berard, Euronext Which organizational strategies are required to innovate in production? | Sébastien Berard, Euronext
Navigating the Gender Pay Gap | Ben Montgomery, Dataiku Navigating the Gender Pay Gap | Ben Montgomery, Dataiku
Livestream with David Ryan Polgar | Building the Responsible AI Pipeline Livestream with David Ryan Polgar | Building the Responsible AI Pipeline
Developing ML-Driven Customer Facing Products at Square | Marsal Gavalda, Square Developing ML-Driven Customer Facing Products at Square | Marsal Gavalda, Square
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
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
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