
Which AI agents are data scientists using and at which stages of their workflows?
In data deep dive #2, we investigate which AI agents data scientists are using and at which stages of their workflows.
The Tabular AI company by the creators of scikit-learn
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In data deep dive #2, we investigate which AI agents data scientists are using and at which stages of their workflows.

Yann Debray and Gaël Varoquaux discuss the path toward building end-to-end Data Scientist Agents enterprises can trust in production.

Probabl signed the Open Weights and American AI Leadership open letter alongside Microsoft, Nvidia, Intel, IBM, Mistral, GitHub, Hugging Face, and others.

Camilo Pedraza and Cailean Osborne investigate the booming downloads of scikit-learn.

Yann Lechelle announces strategic collaboration with Intel to accelerate scikit-learn.

By Cailean Osborne, Head of Ecosystem Development at Probabl

Yann Debray and Gaël Varoquaux explain what's needed to enable the adoption of AI agents in data science.

Gaël and Cailean argue that open science is powering the Tabular Foundation Models revolution.

Arturo interviews Mar Carpanelli about how AI coding assistants are reshaping enterprise demand for technical skills.

Gaël Varoquaux explains why and how statistical thinking is the heart of AI.