1 hr 9 min

Eli Bressert, Co-Founder & CEO at Origin Young Creators Podcast: Behind the Product met Rens Gingnagel

    • Technology

Eli Bressert(https://twitter.com/elibressert) received a PhD in astrophysics from the University of Exeter, where he studied the formation of star clusters. Afterwards he managed the data science teams for companies such as Stitch Fix, Netflix and Apple. He is the co-founder and CEO of Origin, a startup that combines data science and human curators to create the perfect personalized travel experience.

In this wide-ranging conversation we cover:

- How we can combine the unique qualities of humans and machines through human-in-the-loop machine learning.

- Why it’s so important that different disciplines learn from each other and how that relates to the number of Nobel Laureates.

- Eli gives us a crash course on what he learned at Stitch Fix, Netflix and Apple.

- And much much more.


Shownotes:

- Range, David Epstein: https://www.amazon.com/Range-Generalists-Triumph-Specialized-World/dp/0735214484

- Radical Candor, Kim Scott: https://www.amazon.com/Radical-Candor-Kim-Scott/dp/B01KTIEFEE

- No Rules Rules, Erin Meyer and Reed Hastings: https://www.amazon.com/No-Rules-Netflix-Culture-Reinvention/dp/1984877860

- GPT-3: https://openai.com/blog/gpt-3-apps/

- DALL-E: https://openai.com/blog/dall-e/

- Origin: https://www.origin.me

- Behind the Product Instagram: https://www.instagram.com/btp.fm/

- Behind the Product Twitter: https://twitter.com/RensGingnagel

Eli Bressert(https://twitter.com/elibressert) received a PhD in astrophysics from the University of Exeter, where he studied the formation of star clusters. Afterwards he managed the data science teams for companies such as Stitch Fix, Netflix and Apple. He is the co-founder and CEO of Origin, a startup that combines data science and human curators to create the perfect personalized travel experience.

In this wide-ranging conversation we cover:

- How we can combine the unique qualities of humans and machines through human-in-the-loop machine learning.

- Why it’s so important that different disciplines learn from each other and how that relates to the number of Nobel Laureates.

- Eli gives us a crash course on what he learned at Stitch Fix, Netflix and Apple.

- And much much more.


Shownotes:

- Range, David Epstein: https://www.amazon.com/Range-Generalists-Triumph-Specialized-World/dp/0735214484

- Radical Candor, Kim Scott: https://www.amazon.com/Radical-Candor-Kim-Scott/dp/B01KTIEFEE

- No Rules Rules, Erin Meyer and Reed Hastings: https://www.amazon.com/No-Rules-Netflix-Culture-Reinvention/dp/1984877860

- GPT-3: https://openai.com/blog/gpt-3-apps/

- DALL-E: https://openai.com/blog/dall-e/

- Origin: https://www.origin.me

- Behind the Product Instagram: https://www.instagram.com/btp.fm/

- Behind the Product Twitter: https://twitter.com/RensGingnagel

1 hr 9 min

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