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The world's brightest Artificial Intelligence conference 

october 17 -18, 2024 - PARIS, FRANCE

first revealed speakers

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Talk: Reality is not an end-to-end prediction problem: Applied NLP in the age of Generative AI 

Ines Montani is a developer specializing in tools for AI and NLP technology. She’s the co-founder and CEO of Explosion and a core developer of spaCy, a popular open-source library for Natural Language Processing in Python, and Prodigy, a modern annotation tool for creating training data for machine learning models.

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Talk: Multimodal Language models

Neil is co-founder and Chief Modeling Officer of the Kyutai non-profit research lab. He was previously at Google DeepMind, where he led a team on generative audio, with contributions including Google’s first text-to-music API, and the first neural audio codec that outperforms general-purpose audio codecs. Before that, Neil spent 3 years at Facebook AI Research, working on automatic speech recognition and audio understanding.

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Talk: LLMs reasoning and agentic capabilities over time


After studying at Polytechnique and Stanford, Stanislas started a company in France that eventually got acquired by Stripe in 2015. He
spent 5 years at
Stripe working on the API and infrastructure around non-card payment methods. After Stripe he did research for 3 years at OpenAI on large language models mathematical reasoning capabilities.
He's now co-founding
Dust, building the company OS for smart teams.

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Talk: Gain full control of your apps with Open-source AI


Merve Noyan is a Machine Learning Advocate Engineer at Hugging Face and Graduate computer vision Researcher, working on zero-shot vision and making large vision and multimodal models more accessible. 



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Talk: Skrub: Less data wrangling, more machine learning


Gaël Varoquaux is a research director working on data science at Inria where he leads the Soda team. Varoquaux's research covers fundamentals of AI, statistical learning, natural language processing, causal inference, as well as applications to health. He also creates technology: he co-funded scikit-learn, one of the reference machine-learning toolboxes, and helped build various central tools for data analysis in Python.

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Talk: Getting LLMs to do what you want: Output Controllers 


Meryem co-founded TitanML to create a seamless and secure infrastructure for enterprise LLM deployments. She studied Theoretical Physics and Philosophy at the University of Oxford and is a Forbes 30 Under 30 honoree. Beyond her daily role, Meryem is dedicated to envisioning an ethical AI future and enhancing diversity within the AI space.

more speakers reveals
are upcoming!

In 2024, enjoy the fabulous settings
of the Folies Bergère theater




Happy to be back 

After 39 editions of dotConferences since 2012, with more than 24,000 attendees and a forced 4-year break, dotConferences are making a comeback in June 2024 with dotAI as part of the program.

During most dotConferences editions, we welcome 1000+ attendees per day! We can’t wait to welcome you back on October 17-18, 2024, to get the latest news, features and best practices about Artificial Intelligence. Let’s meet together to reboot the fantastic dotConferences atmosphere!

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