Wait, this needs to run in prod?: It's Pydata Copenhagen!

Today the topic is wishing - wishing you knew all the things you should be doing to put your ML models in production and breathing a sigh of relief when you learn about how it's not that hard

Agenda:
17:00 Arrive, hang out, get some snacks, beer, soda,
18:30 Konrad Stanek, Staff Data Scientist Trustpilot, Language Models for scalable multi-level text representations in Trustpilot
18:50 Break
19:00 MLOps in Practice: From Model Development to Easy Deployment
Sune Askjær, CEO and founder ADAMATICS

Within data science, building accurate models is only half the battle. Ensuring they deliver reliable predictions across different environments and are easy to deploy within organizations is the real challenge. In this talk, we’ll dive into the world of MLOps—not as a buzzword but as a critical practice that bridges the gap between data science and operational excellence in organizations with multiple data scientists.

Drawing from our own experience and consulting engagements, we’ll explore the key obstacles organizations face when operationalizing machine learning models. You’ll see an approach to tackle issues such as environment drift, inconsistent deployment pipelines, and the overhead of model governance and maintenance. We’ll highlight how standardized Python library templates for model development foster consistency, reduce technical debt, and simplify collaboration across data science teams.

20:00 More socializing, discussions, hanging out
21:00 Doors close

Sponsors:
Thanks to NumFocus for running Pydata!

Special thanks to Trustpilot for hosting!