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Airline Data Science Talk [LATAM Airlines case – Part II]

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Manage episode 363571233 series 2648435
Content provided by Iztok Franko. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Iztok Franko or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

This is a second part of our talk with Andres Bucchi, Chief Data Officer at LATAM Airlines.

In Part I. we talked about experimentation, this second part is about data science and how airlines can integrate data science in large organization.

Andres shared his experience from LATAM airlines and his past learning from BigTech companies and work at Uber.

And yes, of course we had to talk about ChatGPT as well.

You can find the full article with key key concepts, quotes, and other notes from this chat with Andres here:

https://diggintravel.com/airline-data-science-latam-airlines/

  continue reading

62 episodes

Artwork
iconShare
 
Manage episode 363571233 series 2648435
Content provided by Iztok Franko. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Iztok Franko or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

This is a second part of our talk with Andres Bucchi, Chief Data Officer at LATAM Airlines.

In Part I. we talked about experimentation, this second part is about data science and how airlines can integrate data science in large organization.

Andres shared his experience from LATAM airlines and his past learning from BigTech companies and work at Uber.

And yes, of course we had to talk about ChatGPT as well.

You can find the full article with key key concepts, quotes, and other notes from this chat with Andres here:

https://diggintravel.com/airline-data-science-latam-airlines/

  continue reading

62 episodes

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