Diversity and Inclusion in Data Science | Noelle Silver, HackerU Diversity and Inclusion in Data Science | Noelle Silver, HackerU
Le revenue management augmenté par l’IA | Benjamin Lalanne, Groupe Air France Le revenue management augmenté par l’IA | Benjamin Lalanne, Groupe Air France
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
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
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
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
Ethical AI: Inclusivity as a Messy, but Promising Answer | Larry Orimoloye, Dataiku Ethical AI: Inclusivity as a Messy, but Promising Answer | Larry Orimoloye, Dataiku
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
EGG AMS 2019 Opening Plenary | Hylke Visser, Dataiku EGG AMS 2019 Opening Plenary | Hylke Visser, Dataiku
Developing ML-Driven Customer Facing Products at Square | Marsal Gavalda, Square Developing ML-Driven Customer Facing Products at Square | Marsal Gavalda, Square
How Rabobank Boosts Sustainable AI Acceleration | Martin Leijen Architect, Rabobank How Rabobank Boosts Sustainable AI Acceleration | Martin Leijen Architect, Rabobank
Pitfalls of Using ML for Fighting Online Abuse | David Freeman, Facebook Pitfalls of Using ML for Fighting Online Abuse | David Freeman, Facebook
What’s At Stake With Your Data Projects Operationalization? | Romain Fouache, Dataiku What’s At Stake With Your Data Projects Operationalization? | Romain Fouache, Dataiku
AI + Human Intuition = Differentiated Insights | Jeff McMillan, Morgan Stanley AI + Human Intuition = Differentiated Insights | Jeff McMillan, Morgan Stanley
Ethics, Data Science, and Public Service Media | Ben Fields, BBC News Ethics, Data Science, and Public Service Media | Ben Fields, BBC News
Ethical Enterprise AI – A Guideline or Compass? | Martin Leijen, Rabobank Ethical Enterprise AI – A Guideline or Compass? | Martin Leijen, Rabobank
Cyber Risk Analytics: The Next Frontier | Paul Guthrie, Envelop Cyber Risk Analytics: The Next Frontier | Paul Guthrie, Envelop
Which organizational strategies are required to innovate in production? | Sébastien Berard, Euronext Which organizational strategies are required to innovate in production? | Sébastien Berard, Euronext
AI in the B2B customer journey | José Ramón Sánchez Martos, Telefónica AI in the B2B customer journey | José Ramón Sánchez Martos, Telefónica
From Silos to Self-Service: Data Transformation at GE Aviation | Jon Tudor, GE Aviation From Silos to Self-Service: Data Transformation at GE Aviation | Jon Tudor, GE Aviation
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
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
