Artwork

Content provided by Eric Anderson. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Eric Anderson 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.
Player FM - Podcast App
Go offline with the Player FM app!

Flyte with Ketan Umare

36:28
 
Share
 

Manage episode 326758281 series 2626943
Content provided by Eric Anderson. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Eric Anderson 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.

Eric Anderson (@ericmander) and Ketan Umare (@ketanumare) discuss Flyte, the open-source workflow automation platform for large-scale machine learning and data use cases. Ketan is a former engineer at Lyft, where he created Flyte to help models in Pricing, Locations, ETA, and more. Today, the project allows machine learning developers everywhere to bring their ideas from conception to production.

In this episode we discuss:

  • How Flyte combines compute with parts of a workflow engine in a way that is best for the user
  • The importance of reliable fares and ETA predictions at a ride-sharing app
  • A progenitor to Flyte called “Better Airflow”
  • Ketan’s innovative approach to bringing typing to machine learning workloads
  • Why Flyte landed at the Linux Foundation

Links:

Other episodes:

  continue reading

83 episodes

Artwork

Flyte with Ketan Umare

Contributor

18 subscribers

published

iconShare
 
Manage episode 326758281 series 2626943
Content provided by Eric Anderson. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Eric Anderson 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.

Eric Anderson (@ericmander) and Ketan Umare (@ketanumare) discuss Flyte, the open-source workflow automation platform for large-scale machine learning and data use cases. Ketan is a former engineer at Lyft, where he created Flyte to help models in Pricing, Locations, ETA, and more. Today, the project allows machine learning developers everywhere to bring their ideas from conception to production.

In this episode we discuss:

  • How Flyte combines compute with parts of a workflow engine in a way that is best for the user
  • The importance of reliable fares and ETA predictions at a ride-sharing app
  • A progenitor to Flyte called “Better Airflow”
  • Ketan’s innovative approach to bringing typing to machine learning workloads
  • Why Flyte landed at the Linux Foundation

Links:

Other episodes:

  continue reading

83 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide