# ship-of-theseus

Published articles for ship-of-theseus.

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## Reflections on the Evolution of Data Science + AI at Microsoft and a Career Transition

DevFeed: [Reflections on the Evolution of Data Science + AI at Microsoft and a Career Transition](<https://devfeed.tech/articles/what-so-what-and-what-comes-next-32263.md>)

Original publisher: [Read original article](<https://medium.com/data-science-at-microsoft/what-so-what-and-what-comes-next-cf0bcce7c546?source=rss----a6e43238cdaf---4>)

Author: Casey Doyle

Published: 2026-06-30T07:16:00Z

Content type: opinion

Language: en

Sources: [Data Science at Microsoft](<https://devfeed.tech/sources/data-science-at-microsoft.md>)

Topics: [Data Science](<https://devfeed.tech/topics/data-science.md>), [Microsoft](<https://devfeed.tech/topics/microsoft.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Data visualization](<https://devfeed.tech/topics/data-visualization.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [data-science](<https://devfeed.tech/tags/data-science.md>), [data-visualization](<https://devfeed.tech/tags/data-visualization.md>), [development](<https://devfeed.tech/tags/development.md>), [journey](<https://devfeed.tech/tags/journey.md>), [microsoft](<https://devfeed.tech/tags/microsoft.md>), [reflections](<https://devfeed.tech/tags/reflections.md>), [ship-of-theseus](<https://devfeed.tech/tags/ship-of-theseus.md>)

### AI overview

The author reflects on the evolution of Microsoft's Data Science + AI publication, their departure from Microsoft, and the career experiences that shaped their approach to communicating complex ideas for business impact.

### Source excerpt

Reflections on storytelling, change, and what enduresPhoto by Joseph Barrientos on Unsplash. And so the mythical hero Theseus sailed home to Athens after defeating the Minotaur. To honor him, the Athenians preserved his wooden ship in their harbor down the centuries. As the old planks rotted, builders replaced them with identical new ones. Eventually, they replaced every single original piece of wood. This sparked a famous debate among philosophers: With every part replaced, is it still the same ship? Like the ship of Theseus, what endures also undergoes many changes. That idea applies not only to the Data Science + AI at Microsoft online publication you're reading now, but also to my own career journey. After two stints totaling more than 32 years at Microsoft, and more than six years leading Data Science + AI at Microsoft, I am turning the page on both chapters this month as I prepare to depart. As I mark this transition, I feel many emotions, but one that stands out most is gratitude -- for the people, opportunities, and experiences that have shaped both the work and me. Leading Data Science + AI at Microsoft (which we call DS@M internally) since its inception has been a highlight of my working life. From its initial focus on data science in early 2020 to its evolution to encompass AI starting in 2023, DS@M continues to attract an audience as it approaches 10,000 followers. For me, this is especially remarkable given some of the internal pushback that came in the time before we launched, reflecting skepticism that it was possible, much less advisable, to share our data science expertise outside the company without crossing proprietary lines. That we moved forward -- and ultimately succeeded -- was possible only because of the many authors and collaborators who believed in the idea and were willing to contribute their work. More than 340 articles later, we've amply proved we could do it, and do it well. In many ways, this work reflects the culmination of the paths th