Speakers
Learn about this year’s Keynote Speakers, Tutorial Speakers and Panelists
Keynote Speakers
Ecole Polytechnique
Keynote 1
Generative AI for image applications
CMU Carnegie Mellon University - Pittsburgh, Pennsylvanie
Keynote 2
Who Benefits from the Data Economy?
Google Research & Stony Brook University
Keynote 3
Leveraging the Structure of Data
University of California, Berkeley
Keynote 4
Harnessing AI for Organizational Theory Research, While Avoiding its Pitfalls
Tutorial Speakers
HEC Paris
Tutorial 1.A
Image Recognition Using Deep Learning : Implementation and Application
HEC Paris
Tutorial 2.A
Data in Finance: FinTech Lending
Tilburg University
Tutorial 3.A
Leveraging ML techniques for social science research
École Polytechnique
Tutorial 3.B
The Power of Multimodal Generative AI: Text and Image Generation
HEC Paris
Tutorial 4.A
What to expect of the EU AI Regulation? Challenges and Compliance
Télécom Paristech
Tutorial 4.B
Self-supervised learning in computer vision and medical imaging
Maastricht University
Tutorial 5.A
Introduction to Structural Causal Models and Directed Acyclic Graphs
Télécom Paris
Tutorial 5.B
What are the challenges of neural models for sentiment analysis?
HEC Paris
Tutorial 6.A
Anomaly Detection for Building Trust in Organizations and Marketplaces
Industry panel
Intelligence, Optimization & Analytics Fellow at Schneider Electrics
Scientific/technical management & expertise in R&D for industrial environments at TotalEnergies
VP Capgemini Invent, in charge of Quantmetry x Capgemini Industrial Project at Capgemini
