About us
PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualisation. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.
PyData Dubin is supported by an educational program of NumFOCUS, a non-profit organisation whose focus is to support and promote sustainable high-level programming languages, open code development, and reproducible scientific research. Some of the open source data science tools and projects that they sustain via community donations include:
The PyData Code of Conduct governs this meetup. To discuss any issues or concerns relating to the code of conduct or the behavior of anyone at a PyData meetup, please contact NumFOCUS Executive Director Leah Silen (+1 512-222-5449; leah@numfocus.org) or the group organizer.
If you'd like to present a talk or become a host for one of our monthly meetup, please feel free to send us a message through Meetup.
Email: pydataireland@gmail.com
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Upcoming events
1
The AI Audit Spectrum
Squarespace, Squarespace House, Ship Street Great, Dublin 8, Ireland, Dublin 8, D, IE** Due to security reasons we are collecting some information and will be shared with the venue host to ensure smooth check in. These data are solely collected for this event and will be discarded immediately after.**
Beyond the model: product, governance, regulation and cost
AI is becoming part of how organisations build products, make decisions and deliver services. But how do we know whether it’s working as intended - and what should we actually be checking?
Join Women in AI Ireland and PyData Ireland for The AI Audit Spectrum, a panel discussion and interactive breakout session exploring AI through four connected lenses: product and engineering, governance and policies, legal and regulatory considerations, and finance. Powered by Squarespace.
This is a conversation about the bigger picture: not just what an AI system can do, but how it is built, managed, evaluated and paid for.
What we’ll explore
- Product & Engineering: What does “good” look like for an AI-powered product? Explore questions around performance, reliability, testing and ongoing monitoring.
- Governance & Policies: Who owns the decisions - and the risks? Discuss accountability, internal policies and how to turn principles into everyday practice.
- Legal & Regulatory: What questions should teams be asking about data, transparency and their responsibilities when developing or deploying AI?
- Finance & AI Budgeting: What does AI really cost? Consider how to budget for experimentation, deployment and ongoing operation - and how to assess whether the investment is delivering value.
More than a panel
Bring your questions, experience and curiosity. Alongside the panel discussion, interactive breakout conversations will give you space to exchange perspectives, explore practical challenges and consider what an AI audit could look like in your own organisation.
Whether you’re building AI systems, shaping policy, managing budgets or simply trying to make sense of responsible AI adoption, you’re welcome. You don’t need to be an AI auditing expert to contribute.Who should join?
Engineers, data scientists, product managers, founders, governance and risk professionals, legal and compliance teams, finance professionals - and anyone interested in the decisions behind AI.Event schedule
6:00 PM — Welcome & Networking
6:30 PM — Panel discussion & Q&A
7:30 PM — Interactive breakout session
8:30 PM — Closing NetworkingPanel Details to follow ....
80 attendees
Past events
52
