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Building Tecton to Power Billions of Daily Real-Time Predictions for Top ML Teams | Enginears Podcast

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Manage episode 454957387 series 2890471
Content provided by Enginears. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Enginears 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://podcastplayer.com/legal.

If you're keen to share your story, please reach out to us!

Guests:

https://www.linkedin.com/in/ravitrivedi3/

https://www.linkedin.com/in/mary-solbrig/

https://www.tecton.ai/careers/

Powered by Artifeks!

https://www.linkedin.com/company/artifeksrecruitment

https://www.artifeks.co.uk

https://www.linkedin.com/in/agilerecruiter

LinkedIn: https://www.linkedin.com/company/enginearsio

Twitter: https://x.com/Enginearsio

All Podcast Platforms: https://smartlink.ausha.co/enginears

00:00 - Enginears Intro.

01:37 - Ravi Intro.

03:10 - Mary Intro.

04:50 - Who are Tecton?

09:34 - Importance of data in model training and inference?

11:40 - Where are Mary's typical challenges when training models at a high scale?

14:14 - Putting ML applications into production is hard.

20:14 - The difficult but rewarding experience of building a seamless and easy to use UX.

23:03 - Platform engineering culture; mindset behind building your own.

30:32 - Mary; top challenges when building out data intensive applications?

35:03 - Building in-house comments.

43:14 - Tecton's plans for the next 12 months.

47:57 - Ravi, Mary & Tecton Outro.

49:02 - Enginears Outro.

Edited by: hunterdigital.co.uk


Hosted on Ausha. See ausha.co/privacy-policy for more information.

  continue reading

180 episodes

Artwork
iconShare
 
Manage episode 454957387 series 2890471
Content provided by Enginears. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Enginears 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://podcastplayer.com/legal.

If you're keen to share your story, please reach out to us!

Guests:

https://www.linkedin.com/in/ravitrivedi3/

https://www.linkedin.com/in/mary-solbrig/

https://www.tecton.ai/careers/

Powered by Artifeks!

https://www.linkedin.com/company/artifeksrecruitment

https://www.artifeks.co.uk

https://www.linkedin.com/in/agilerecruiter

LinkedIn: https://www.linkedin.com/company/enginearsio

Twitter: https://x.com/Enginearsio

All Podcast Platforms: https://smartlink.ausha.co/enginears

00:00 - Enginears Intro.

01:37 - Ravi Intro.

03:10 - Mary Intro.

04:50 - Who are Tecton?

09:34 - Importance of data in model training and inference?

11:40 - Where are Mary's typical challenges when training models at a high scale?

14:14 - Putting ML applications into production is hard.

20:14 - The difficult but rewarding experience of building a seamless and easy to use UX.

23:03 - Platform engineering culture; mindset behind building your own.

30:32 - Mary; top challenges when building out data intensive applications?

35:03 - Building in-house comments.

43:14 - Tecton's plans for the next 12 months.

47:57 - Ravi, Mary & Tecton Outro.

49:02 - Enginears Outro.

Edited by: hunterdigital.co.uk


Hosted on Ausha. See ausha.co/privacy-policy for more information.

  continue reading

180 episodes

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