Le revenue management augmenté par l’IA | Benjamin Lalanne, Groupe Air France Le revenue management augmenté par l’IA | Benjamin Lalanne, Groupe Air France
Stakeholder Management: A Data Scientist’s Perspective | Denis Fragkakis, IG Index Stakeholder Management: A Data Scientist’s Perspective | Denis Fragkakis, IG Index
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
How Rabobank Boosts Sustainable AI Acceleration | Martin Leijen Architect, Rabobank How Rabobank Boosts Sustainable AI Acceleration | Martin Leijen Architect, Rabobank
Diversity and Inclusion in Data Science | Noelle Silver, HackerU Diversity and Inclusion in Data Science | Noelle Silver, HackerU
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 Make a Success of Data Science | Jan Teichmann, Zoopla How to Make a Success of Data Science | Jan Teichmann, Zoopla
Ethics, Data Science, and Public Service Media | Ben Fields, BBC News Ethics, Data Science, and Public Service Media | Ben Fields, BBC News
From Us, To Us: An Inclusivity Architecture | Brandeis Marshall, Spelman College From Us, To Us: An Inclusivity Architecture | Brandeis Marshall, Spelman College
The 7 Powers of Machine Learning | Lucas Bernardi, Booking The 7 Powers of Machine Learning | Lucas Bernardi, Booking
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
Training Machines to Humanize Dating | Shanshan Ding, Hinge Training Machines to Humanize Dating | Shanshan Ding, Hinge
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
Developing ML-Driven Customer Facing Products at Square | Marsal Gavalda, Square Developing ML-Driven Customer Facing Products at Square | Marsal Gavalda, Square
Augmented Human Intelligence | Walid Mehanna, Daimler Augmented Human Intelligence | Walid Mehanna, Daimler
The Data Science Food Chain | Shaun McGirr, Dataiku The Data Science Food Chain | Shaun McGirr, Dataiku
GDPR & the ICO’s AI Auditing Framework | Ali Shah, ICO GDPR & the ICO’s AI Auditing Framework | Ali Shah, ICO
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
Navigating the Gender Pay Gap | Ben Montgomery, Dataiku Navigating the Gender Pay Gap | Ben Montgomery, Dataiku
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
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
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
How Mercedes-Benz, Vodafone, and Credit Suisse Super-Sized their Data Initiatives | A Panel How Mercedes-Benz, Vodafone, and Credit Suisse Super-Sized their Data Initiatives | A Panel
