Navigating the Gender Pay Gap | Ben Montgomery, Dataiku Navigating the Gender Pay Gap | Ben Montgomery, Dataiku
Cycle de valeur des scores | Virginie Lange & Vincent Gallmann, Floa Bank Cycle de valeur des scores | Virginie Lange & Vincent Gallmann, Floa Bank
Cyber Risk Analytics: The Next Frontier | Paul Guthrie, Envelop Cyber Risk Analytics: The Next Frontier | Paul Guthrie, Envelop
Collection, Retention, & Usability: Inside the Digital Implications of Data | Nicole Alexander, NYU Collection, Retention, & Usability: Inside the Digital Implications of Data | Nicole Alexander, NYU
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
Challenges et enjeux lors de l’opérationnalisation de projets data | Showroomprivé, Dataiku Challenges et enjeux lors de l’opérationnalisation de projets data | Showroomprivé, Dataiku
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
Ethical Enterprise AI – A Guideline or Compass? | Martin Leijen, Rabobank Ethical Enterprise AI – A Guideline or Compass? | Martin Leijen, Rabobank
Convenient and Flexible ML Pipelines with Kubeflow | Mattias Arro, Subspace AI Convenient and Flexible ML Pipelines with Kubeflow | Mattias Arro, Subspace AI
Data, a factor of CRM transformation | Remi Mathieu & Alexis Miginiac, SNCF Data, a factor of CRM transformation | Remi Mathieu & Alexis Miginiac, SNCF
Collection, Retention, & Usability: Inside the Digital Implications of Data | Nicole Alexander, NYU Collection, Retention, & Usability: Inside the Digital Implications of Data | Nicole Alexander, NYU
Generative Adversarial Networks for Finance | Alexandre Hubert, Dataiku Generative Adversarial Networks for Finance | Alexandre Hubert, Dataiku
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
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
AI + Human Intuition = Differentiated Insights | Jeff McMillan, Morgan Stanley AI + Human Intuition = Differentiated Insights | Jeff McMillan, Morgan Stanley
A Glance at ADA: Aviva’s Algorithmic Decision Agent | Damian Rumble, Aviva A Glance at ADA: Aviva’s Algorithmic Decision Agent | Damian Rumble, Aviva
The Growing Pains, Pitfalls & Future for a Data Science Team in a Hyper-Growth Company | Shaun Moate, DAZN The Growing Pains, Pitfalls & Future for a Data Science Team in a Hyper-Growth Company | Shaun Moate, DAZN
Users Floating in Space: A Study in Recommendations | Tyler Neylon, Unbox Research Users Floating in Space: A Study in Recommendations | Tyler Neylon, Unbox Research
Demokratisierung von Data Science bei Mercedes Benz Finance | Statworx, Mercedes Benz Demokratisierung von Data Science bei Mercedes Benz Finance | Statworx, Mercedes Benz
Understanding Consumer Behavior | ft. Unilever & Capgemini Understanding Consumer Behavior | ft. Unilever & Capgemini
AI et Data à l’UNICEF – Pour Quelles Innovations? | Hubert Chaminade, UNICEF AI et Data à l’UNICEF – Pour Quelles Innovations? | Hubert Chaminade, UNICEF
Democratizing Automated Forecasting | Lukas Stroemsdoerfer, Mercedes-Benz Democratizing Automated Forecasting | Lukas Stroemsdoerfer, Mercedes-Benz