Paris Open Source Summit






Trackleader : Yann Lechelle, Snips

Societal issues of AI
14H00 - 18H30 // AUDITORIUM

Artificial intelligence is transforming everything in our daily lives, which raises many political and social issues. Are open artificial intelligence models able to respond to these increasing concerns? Especially about data protection? How to open artificial intelligence to fight bias in algorithms?

 14h00 - 14h40 : Fireside Chat with Octave Klaba : Octave Klaba, OVHcloud
14h40 - 15h00 : Fostering disruptive innovation in AI with JEDI : André Loesekrug-Pietri, JEDI
 15h00 - 16h00 : (Round table) AI, leverage for more equity or how to fight biases in data and algorithms : Caroline Lair, Women in AI ; Camille Morvan, Goshaba ; David Bounie, Institut Louis Bachelier ; Tanya Perelmuter, Fondation Abeona ; Katherine Evans, Sorbonne ; Bernard Ourghanlian, Microsoft France ; Eric Bothorel, Député des Côte d’Armor
16h30 - 17h00 : Artificial Intelligence in China : Discipline and Punish : Charles Thibout, IRIS
 17h00 - 17h30 : Is an "open source AI" a "free AI" (and why we should care) ? : Lancelot Pecquet, Will Strategy
 17h30 - 18h00 : Machine learning, Open Threat Intelligence and Cybersecurity :  Gilles Lehman, CS
18h00 - 18h30 : The AI4EU Project: Constructing the European AI-on-demand Platform : Arnaud Gotlieb, Simula Research Laboratory


Technology and Tools
09H30 - 12H30 // AUDITORIUM

Technological research on artificial intelligence and machine learning is booming thanks to open source. Why all technology projects in artificial intelligence rely on open source? Find out the latest news from libraries and technology projects behind new major breakthroughs in artificial intelligence.

10h00 - 10h40 : Discovering scikit-learn: Machine Learning for all : Olivier Grisel, Inria
 10h40 - 11h10 : Which Severless prediction platform on Google Cloud Platform and with Tensorflow : Guillaume Blaquiere, Veolia
 11h10 - 11h30 : Melusine : a high-level Python library for email classification and feature extraction : Fred De Javel, MAIF & Hugo Perrier, Quantmetry
 11h30 - 11h50 : tf-explain: Interpretability for TensorFlow 2.0 : Pierre-Henri Cumenge, Sicara
 11h50 - 12h10 : Computer Vision framework for GeoSpatial Imagery: :  Olivier Courtin, Data Pink
 12h10 - 12h30 : Chatbots made easy - Build your own chatbot in 20 minutes with an OSS low-code chatbot development platform : Gwendal Daniel, Internet Interdisciplinary Institute (Open University of Catalonia)

Practical applications
14H00 - 17H30 // AUDITORIUM

Deep learning, chatbots, autonomous vehicles, voice, etc. Our future starts from today thanks to open artificial intelligence. Over the past few years, open source has contributed to create a lot of innovative products. Start your journey towards many artificial intelligence solutions for your business and remain free to choose the one that best suits you.

 14h00 - 14h30 : Overcoming open source challenges in reinforcement learning : William Clements, Stealth
 15h00 - 15h30 : Open your speech! :  Alexandre Liss, Mozilla
 16h00 - 16h30 : Deep Learning for Anime & Manga : Vie Jill-Jênn, INRIA & Mangaki
 16h30 - 17h00 : Conversational AI & Open Source: where we are, what next : François Nollen, e.Voyageurs SNCF ; Julien Buret, e.Voyageurs SNCF; Simon Clavier, SNCF / TOSIT ; Richard Popa, Orange ; Stéphanie Delaunay, Enedis ; Otana Shafieivand, EDF ; Fabien Senlanne, SogetiLabs
 17h00 - 17h30 : How an OpenSource software drove my car more than 8000kms : Gael Musquet, Qwant