Challenges et enjeux lors de l’opérationnalisation de projets data | Showroomprivé, Dataiku Challenges et enjeux lors de l’opérationnalisation de projets data | Showroomprivé, Dataiku
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
From Us, To Us: An Inclusivity Architecture | Brandeis Marshall, Spelman College From Us, To Us: An Inclusivity Architecture | Brandeis Marshall, Spelman College
Cyber Risk Analytics: The Next Frontier | Paul Guthrie, Envelop Cyber Risk Analytics: The Next Frontier | Paul Guthrie, Envelop
Transformation data chez Engie GEM | Haga Rabekoto, ENGIE Transformation data chez Engie GEM | Haga Rabekoto, ENGIE
Online Conversion Modeling Combining CRM-Data and Online Behavior | DPG Media Online Conversion Modeling Combining CRM-Data and Online Behavior | DPG Media
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
Democratizing Automated Forecasting | Lukas Stroemsdoerfer, Mercedes-Benz Democratizing Automated Forecasting | Lukas Stroemsdoerfer, Mercedes-Benz
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
Training Machines to Humanize Dating | Shanshan Ding, Hinge Training Machines to Humanize Dating | Shanshan Ding, Hinge
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 AI: Inclusivity as a Messy, but Promising Answer | Larry Orimoloye, Dataiku Ethical AI: Inclusivity as a Messy, but Promising Answer | Larry Orimoloye, Dataiku
How to Improve and Innovate Tax Collection by Municipalities | Jan Geert Bakker, Gemeente Amsterdam How to Improve and Innovate Tax Collection by Municipalities | Jan Geert Bakker, Gemeente Amsterdam
A Glance at ADA: Aviva’s Algorithmic Decision Agent | Damian Rumble, Aviva A Glance at ADA: Aviva’s Algorithmic Decision Agent | Damian Rumble, Aviva
What’s At Stake With Your Data Projects Operationalization? | Romain Fouache, Dataiku What’s At Stake With Your Data Projects Operationalization? | Romain Fouache, Dataiku
Fueling Digital Transformation Within the Enterprise | Ayan Bhattacharya, Deloitte Fueling Digital Transformation Within the Enterprise | Ayan Bhattacharya, Deloitte
Pitfalls of Using ML for Fighting Online Abuse | David Freeman, Facebook Pitfalls of Using ML for Fighting Online Abuse | David Freeman, Facebook
Developing ML-Driven Customer Facing Products at Square | Marsal Gavalda, Square Developing ML-Driven Customer Facing Products at Square | Marsal Gavalda, Square
Can We Make AI Likeable? | Florian Douetteau, Dataiku Can We Make AI Likeable? | Florian Douetteau, Dataiku
EGG AMS 2019 Opening Plenary | Hylke Visser, Dataiku EGG AMS 2019 Opening Plenary | Hylke Visser, Dataiku
Can We Make AI Likeable? [in French] | Florian Douetteau, Dataiku Can We Make AI Likeable? [in French] | Florian Douetteau, Dataiku
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
