PyData London - 83rd Meetup

Venue: Riverbank House, 2 Swan Ln, London EC4R 3AD -
IMPORTANT: LOCATION UPDATED!
Please note:

1. 🚨🚨🚨A valid photo ID is required by building security. 🚨🚨🚨
2. This event follows the NumFOCUS Code of Conduct, please familiarise yourself with it before the event.

If your RSVP status says "You're going" you will be able to get in. No need to show your RSVP confirmation when signing in.

If you can no longer make it, please unRSVP as soon as you know.

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Code of Conduct:
This event follows the NumFOCUS Code of Conduct. Please get in touch with the organisers with any questions or concerns regarding the Code of Conduct.

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As always, there'll be free food & drinks, generously provided by our host, Man Group.

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Main Talks

Building the single-source-of-truth: developing a system for large-scale entity resolution — Ludvig Wärnberg Gerdin

Entity matching is a challenge to all multi-source database systems and therefore relevant to all small- to large-scale software projects.

Not only is the process by which the entity resolution is conducted a hard problem (for example, not all records can be compared against each other but have to be blocked in an efficient manner for comparison) but there are also an abundance of methods to do the comparison of records (for example, are we using exact-search of keys of records or maybe a deep learning approach).

The future of AI: Opensource LLMs — Kehinde Richard Ogunyale

The rapid advancement in the field of Large Language Models (LLMs) has ushered in a new era of technological possibilities and challenges. This talk focuses on the future trajectory of AI with a specific emphasis on open-source LLMs. We will explore how the democratization of AI through open-source models is reshaping the landscape of innovation, accessibility, and collaboration in the field. The talk will address critical aspects such as the impact of open-source LLMs on various industries, including education, healthcare, and technology, while also discussing the potential for fostering a more inclusive and diverse AI community.

The talk also addresses the broader implications for policy, regulation, and the global AI landscape, emphasizing the need for collaborative, ethical development of AI technologies. This session aims to highlight both the opportunities and responsibilities associated with open-source LLMs in shaping a sustainable AI future.

⚡ Lightning Talks

Asking the right question (and measuring the right things) — Adam Kells

As data scientists, we often find halfway through a project that we are asking a slightly wrong question. In this talk, I will cover some common pitfalls I see with formulating data science projects and defining metrics.

Logistics
Doors open at 6.30 pm (get there early as you have to sign-in via building security), talks start at 7 pm, drinks from 9 pm in the bar. We will have reduced capacity for this event but there will be plenty of people to discuss data science questions with!

Please unRSVP in good time if you realise you can't make it. We're limited by building security on the number of attendees, so please free up your place for your fellow community members!

Follow @pydatalondon (https://twitter.com/pydatalondon) for updates and early announcements.