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docs/posts/20240722_pydata_london_2024.md

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 ![Keynote by Tania Allard at PyData London 2024](images/pydata_london_2024/tania_keynote.png)
 
 A few talks and sessions at PyData touched on Open Source Software. Tania Allard presented a [keynote](https://www.youtube.com/watch?v=9AuuhrQDv0E&list=PLGVZCDnMOq0rrhYTNedKKuJ9716fEaAdK&index=29) on “[The art of building and sustaining successful OSS tools and infrastructure](https://speakerdeck.com/trallard/2024-pydata-lndn)” discussing factors that contribute to an open-source project’s success and sustainability. She also touched upon how to empower developers, users, and maintainers in a sustainable way and not at the expense of the open-source ecosystem.
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 Cheuk Ting Ho led an interesting unconference style discussion on “How to define open source AI”. The participants of the unconference were asked to walk through the open source initiative’s conversation [explaining the concept of data information](https://discuss.opensource.org/t/explaining-the-concept-of-data-information/401) and they were asked to put their opinions and questions on it. It was a healthy discussion on Data Information as defined in the draft [Open Source AI](https://opensource.org/blog/open-source-ai-definition-weekly-update-june-17) definition: “Sufficiently detailed information about the data used to train the system, so that a skilled person can recreate a substantially equivalent system using the same or similar data.”
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 There was also another lightning talk presented on [open source science](https://www.opensource.science/), a NumFOCUS initiative connecting scientists and OSS developers.
 
 ![Deb Nicholson’s talk at PyData London 2024](images/pydata_london_2024/deb_open_source_leadership.png)