IA, vision artificielle et mode | Charles Ollion, Heuritech IA, vision artificielle et mode | Charles Ollion, Heuritech
The Spirit of the City: Capturing Network-Generated Data for Better Cities | Luca Maria Aiello, Nokia Bell Labs The Spirit of the City: Capturing Network-Generated Data for Better Cities | Luca Maria Aiello, Nokia Bell Labs
GDPR & the ICO’s AI Auditing Framework | Ali Shah, ICO GDPR & the ICO’s AI Auditing Framework | Ali Shah, ICO
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
Ethics, Data Science, and Public Service Media | Ben Fields, BBC News Ethics, Data Science, and Public Service Media | Ben Fields, BBC News
Optimiser l’insoupçonnable grâce au Machine Learning | Raphaël de Cormis, GEMALTO Optimiser l’insoupçonnable grâce au Machine Learning | Raphaël de Cormis, GEMALTO
AI + Human Intuition = Differentiated Insights | Jeff McMillan, Morgan Stanley AI + Human Intuition = Differentiated Insights | Jeff McMillan, Morgan Stanley
Transformation data chez Engie GEM | Haga Rabekoto, ENGIE Transformation data chez Engie GEM | Haga Rabekoto, ENGIE
Ethical Enterprise AI – A Guideline or Compass? | Martin Leijen, Rabobank Ethical Enterprise AI – A Guideline or Compass? | Martin Leijen, Rabobank
Diversity and Inclusion in Data Science | Noelle Silver, HackerU Diversity and Inclusion in Data Science | Noelle Silver, HackerU
Operationalization of Data Science: the Next Challenges | Romain Fouache, Dataiku Operationalization of Data Science: the Next Challenges | Romain Fouache, Dataiku
Fiabilisation des bases patrimoniales grâce à la reconnaissance d’image | GRDF Fiabilisation des bases patrimoniales grâce à la reconnaissance d’image | GRDF
EGG AMS 2019 Opening Plenary | Hylke Visser, Dataiku EGG AMS 2019 Opening Plenary | Hylke Visser, Dataiku
Becoming Data Driven in 10 (Easy) Steps | Kim Nilsson, Pivigo Becoming Data Driven in 10 (Easy) Steps | Kim Nilsson, Pivigo
Machine Learning is a Team Sport | Florian Douetteau, Dataiku Machine Learning is a Team Sport | Florian Douetteau, Dataiku
Challenges et enjeux lors de l’opérationnalisation de projets data | Showroomprivé, Dataiku Challenges et enjeux lors de l’opérationnalisation de projets data | Showroomprivé, Dataiku
Can We Make AI Likeable? | Florian Douetteau, Dataiku Can We Make AI Likeable? | Florian Douetteau, Dataiku
From Us, To Us: An Inclusivity Architecture | Brandeis Marshall, Spelman College From Us, To Us: An Inclusivity Architecture | Brandeis Marshall, Spelman College
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
Essentials to Succeeding with Analytics Initiatives | Ashok Kumar, Avis Budget Group Essentials to Succeeding with Analytics Initiatives | Ashok Kumar, Avis Budget Group
Comment initier des projets data dans un centre de technologie? | Lucile Baur, Schlumberger Comment initier des projets data dans un centre de technologie? | Lucile Baur, Schlumberger
Online Conversion Modeling Combining CRM-Data and Online Behavior | DPG Media Online Conversion Modeling Combining CRM-Data and Online Behavior | DPG Media
The Traps of History, from 1980’s to Culture | Simon Hay, Outra The Traps of History, from 1980’s to Culture | Simon Hay, Outra
How to Make a Success of Data Science | Jan Teichmann, Zoopla How to Make a Success of Data Science | Jan Teichmann, Zoopla
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
