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Data Science & Agile: Strategies for Working Together
--client
pyohio
--show
pyohio_2024
--room cattleya_24 15449 --force
Next: 10 How to Do the Same Thing Over and Over Again and Yield Different Results
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Marks
Author(s):
Alyssa Batula
Location
Cattleya
Date
jul Sat 27
Days Raw Files
Start
11:45
First Raw Start
11:13
Duration
00:30:00
Offset
0:31:13
End
12:15
Last Raw End
12:43
Chapters
00:00
0:00:01
Total cuts_time
25 min.
https://www.pyohio.org/2024/program/talks/data-science-agile-strategies-for-working-together
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Data science and Agile aren't famous for getting along. Data scientists complain that Agile frameworks are too restrictive and deadline\-focused to accommodate the type of work they do. Scrum masters and product owners have a hard timing planning around unclear timelines and uncertain outcomes, and wish the data scientists would just tell them how much effort a task will take. But it doesn't have to be this way! Data science and Agile can work together to create a better system for everyone. In this talk I'll highlight tips and pitfalls from my own experience, as well as stories I've heard from my colleagues.
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production notes
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