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Season 4, all about AI, has launched! In the first episode of the new season we talked to Scott Hanselman. Scott is a programmer, teacher, and speaker. He works out of his home office in Portland, Oregon for Microsoft as...
S04E01 - Meaningful uses of AI - with Scott Hanselman is an episode from Half Stack Data Science Podcast by Half Stack Data Science. Season 4, all about AI, has launched! In the first episode of the new season we talked to Scott Hanselman....
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Published Mar 3, 2025, 00:42:55 long, audio available.
Season 4, all about AI, has launched! In the first episode of the new season we talked to Scott Hanselman. Scott is a programmer, teacher, and speaker. He works out of his home office in Portland, Oregon for Microsoft as the Vice President of Developer Community. He works on .NET, Open Source, and the Azure Cloud Developer Experience, but he also blogs about technology, culture, gadgets, inclusion, code, the web, where we're going and where we've been, and has a number of podcasts and a YouTube channel. We talked to Scott about his role at Microsoft and how he still loves to build things. We talked about AI as a brand, the risks of relying too much on tools like ChatGPT, and how developers can use these technologies meaningfully. We also discussed one of our favourite topics on the podcast, dark matter developers, a term we originally learned from a blog post by Scott himself. See episode 4, Getting Data in our first season for even more about this term. Please enjoy our conversation with Scott Hanselman! You can find Scott at -- David's book, The Well-Grounded Data Analyst is out! If you want to find out more, we have a whole episode about it:
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S04E01 - Meaningful uses of AI - with Scott Hanselman is an episode from Half Stack Data Science Podcast by Half Stack Data Science.
This episode is 00:42:55 long.
This episode was published on Mar 3, 2025.
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S04E01 - Meaningful uses of AI - with Scott Hanselman is from Half Stack Data Science Podcast by Half Stack Data Science.
Published Mar 3, 2025 and 00:42:55 long