PyData London - 108th Meetup

Venue: Riverbank House, 2 Swan Ln, London EC4R 3AD
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 attending.

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 possible.

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

As always, there will be free food and drinks, generously provided by our host, Man Group.

Main Talks

1. Astha Gupta - Beyond the Demo: What Nobody Tells You About Shipping AI at Scale
   Everyone wants to talk about the model. In enterprise AI delivery, the model is rarely the hard part.
   Over the last few years I have led the delivery of AI platforms for Fortune 500 clients across energy, agriculture, and chemicals. The hardest problems were never algorithmic. They were getting the data in the first place, making sense of it, showing progress before anyone loses faith, and balancing the pressure to move fast with the need to build something that actually scales.
   This talk covers the full arc of what enterprise AI delivery actually looks like in practice. Getting data from large organisations is often the longest part of the entire project, and the EDA that follows surfaces assumptions that break everything you planned. Showing features early, before the formal UAT four months later, is what keeps projects alive. And the pressure to deliver fast in sprints that have no room for a month long feature is where most technical debt quietly accumulates.
   The latest chapter of this story is coding agents. They make you faster than ever. But in enterprise codebases where scalability is not optional and understanding what you built is not a luxury, speed without comprehension compounds into something much harder to fix.
   This is not generic software engineering. The constraints are different, the stakes are higher, and the lessons are hard won.

--------------------------------
Logistics

• Doors open at 6.30 pm (get there early as you'll need to sign in with building security).
• Talks start at 7:00 pm, with drinks afterwards from 9:00 pm at The Banker (EC4).

We 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.