Ian Ozsvald - Data Science Project Patterns that Work | PyData Global 2022

Getting your team to choose good projects, reliably derisk them, research ideas, productionise the solutions and create positive change in an organisation is hard. Really hard.
I'll present patterns that work for these 5 critical project stages. This guidance is based on 15 years of experience writing AI and DS solutions and 5 years giving both strategic guidance training on how to get to success.
You'll come away from the session with new techniques to help your team deliver successfully and increase their confidence in the roadmap, new thoughts on how to diagnose your model's quality and new ideas to make positive difference in your organisation.

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00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.

[grape]

3:35 what projects to choose? pitfalls of the types of projects
6:52 choosing good projects
9:00 what does the data mean? we need to know if the data is sane and stable
11:55 derisking data
13:05 researching and productive research
18:09 deliver value early! iterative deployment
22:20 Building trust
25:15 Summary and outro