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UID:pretalx-pyconde-pydata-2025-WMBDJ8@pretalx.com
DTSTART;TZID=CET:20250424T113500
DTEND;TZID=CET:20250424T122000
DESCRIPTION:When I was hired as a Scientist for Machine Learning\, experts 
 said ML would never work in weather forecasting. Nowadays\, I get to contr
 ibute to Anemoi\, a full-featured ML weather forecasting framework used by
  international weather agencies to research\, build\, and scale AI weather
  forecasting models. \n\nThe project started out as a curiosity by my coll
 eagues and soon scaled as a result of its initial success. As machine lear
 ning stories go\, this is a story of change\, adaptation and making things
  work. \n\nIn this talk\, I'll share some practical lessons: how we evolve
 d from a mono-package with four people working on it to multiple open-sour
 ce packages with 40+ internal and external collaborators. Specifically\, h
 ow we managed the explosion of over 300 config options without losing all 
 of our sanity\, building a separation of packages that works for both rese
 archers and operations teams\, as well as CI/CD and testing that constrain
 s how many bugs we can introduce in a given day. You'll learn concrete pat
 terns for growing Python packaging for ML systems\, and balancing research
  flexibility with production stability. As a bonus\, I'll sprinkle in anec
 dotes where LLMs like chatGPT and Copilot massively failed at facilitating
  this evolution.\n\nJoin me for a deep dive into the real challenges of sc
 aling ML systems - where the weather may be hard to predict\, but our code
  doesn't have to be.
DTSTAMP:20260613T003515Z
LOCATION:Platinum3
SUMMARY:Going Global: Taking code from research to operational open ecosyst
 em for AI weather forecasting - Jesper Dramsch
URL:https://pretalx.com/pyconde-pydata-2025/talk/WMBDJ8/
END:VEVENT
BEGIN:VEVENT
UID:pretalx-pyconde-pydata-2025-9TRFCK@pretalx.com
DTSTART;TZID=CET:20250424T161500
DTEND;TZID=CET:20250424T171500
DESCRIPTION:As generative AI and autonomous agents rapidly transform the wo
 rkplace\, the skills required to thrive are evolving just as quickly. This
  panel will explore the essential AI skills that are driving career growth
 .
DTSTAMP:20260613T003515Z
LOCATION:Zeiss Plenary (Spectrum)
SUMMARY:PyLadies Panel: AI Skills & Careers - Tereza Iofciu\, Jesper Dramsc
 h\, Anastasia Karavdina\, Guadalupe Canas Herrera
URL:https://pretalx.com/pyconde-pydata-2025/talk/9TRFCK/
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