PyData Global 2023

December 6 - 8, 2023

A VIRTUAL CONFERENCE, ANYWHERE ON EARTH

Special Thanks to our Platinum Sponsor:

WHAT TO EXPECT

PyData Global 2023 is a 3-day virtual event for the international community of data scientists, data engineers, and developers of data analysis tools to share ideas and learn from each other.

During the conference, attendees will have the opportunity to attend live keynote sessions and talks, lightning talks, and get to know fellow members of the PyData Community.

The event will be virtually hosted.

Keynote Speakers

  • Abubakar Abid

    Hugging Face, Machine Learning Team Lead

    Abubakar Abid completed his PhD at Stanford in applied machine learning. During his PhD, he founded Gradio, an open-source Python library that is used by more than 500,000 users every month to build learning demos. Gradio was acquired by Hugging Face, which is where Abubakar now serves as a machine learning team lead.

  • Jerry Liu

    LlamaIndex, Co-Founder & CEO

    Jerry is the co-founder/CEO of LlamaIndex, a data framework for building LLM applications. Before this, he has spent his career at the intersection of ML, research, and startups. He led the ML monitoring team at Robust Intelligence, did self-driving AI research at Uber ATG, worked on recommendation systems at Quora, and graduated from Princeton.

  • Daniel Beutel

    Flower Labs, Co-Founder & CEO

    Daniel is one of the creators of Flower, the first fully agnostic federated learning framework, which is now being used at many Fortune 500 companies and most top universities worldwide. He previously held roles as Head of AI and CTO and has considerable experience in running and scaling engineering teams. Daniel is a CS PhD candidate at the University of Cambridge and has an MSc (with distinction) in Software Engineering from the University of Oxford.

PyData 2022 Memories

ABOUT PYDATA

The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.

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