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Building Tecton to Power Billions of Daily Real-Time Predictions for Top ML Teams | Enginears Podcast
Manage episode 454957387 series 2890471
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.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.
180 episodes
Manage episode 454957387 series 2890471
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.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.
180 episodes
All episodes
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