Understanding Consumer Behavior | ft. Unilever & Capgemini Understanding Consumer Behavior | ft. Unilever & Capgemini
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
Are You Vulnerable to Adversarial Machine Learning? | Celeste Fralick, McAfee Are You Vulnerable to Adversarial Machine Learning? | Celeste Fralick, McAfee
What’s At Stake With Your Data Projects Operationalization? | Romain Fouache, Dataiku What’s At Stake With Your Data Projects Operationalization? | Romain Fouache, Dataiku
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 to Make a Success of Data Science | Jan Teichmann, Zoopla How to Make a Success of Data Science | Jan Teichmann, Zoopla
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
Ethical AI: Inclusivity as a Messy, but Promising Answer | Larry Orimoloye, Dataiku Ethical AI: Inclusivity as a Messy, but Promising Answer | Larry Orimoloye, Dataiku
Fueling Digital Transformation Within the Enterprise | Ayan Bhattacharya, Deloitte Fueling Digital Transformation Within the Enterprise | Ayan Bhattacharya, Deloitte
Convenient and Flexible ML Pipelines with Kubeflow | Mattias Arro, Subspace AI Convenient and Flexible ML Pipelines with Kubeflow | Mattias Arro, Subspace AI
AI et Data à l’UNICEF – Pour Quelles Innovations? | Hubert Chaminade, UNICEF AI et Data à l’UNICEF – Pour Quelles Innovations? | Hubert Chaminade, UNICEF
From Us, To Us: An Inclusivity Architecture | Brandeis Marshall, Spelman College From Us, To Us: An Inclusivity Architecture | Brandeis Marshall, Spelman College
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
Collection, Retention, & Usability: Inside the Digital Implications of Data | Nicole Alexander, NYU Collection, Retention, & Usability: Inside the Digital Implications of Data | Nicole Alexander, NYU
Can We Make AI Likeable? [in French] | Florian Douetteau, Dataiku Can We Make AI Likeable? [in French] | Florian Douetteau, Dataiku
Cycle de valeur des scores | Virginie Lange & Vincent Gallmann, Floa Bank Cycle de valeur des scores | Virginie Lange & Vincent Gallmann, Floa Bank
Which organizational strategies are required to innovate in production? | Sébastien Berard, Euronext Which organizational strategies are required to innovate in production? | Sébastien Berard, Euronext
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
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
Innovation for Sustainable Growth | Carlo Purassanta, Microsoft Innovation for Sustainable Growth | Carlo Purassanta, Microsoft