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

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/artifeksrecruitmenthttps://www.artifeks.co.ukhttps://www.linkedin.com/in/agilerecruiterLinkedIn: https://www.linkedin.com/company/enginearsioTwitter: https://x.com/EnginearsioAll Podcast Platforms: https://smartlink.ausha.co/enginears00:00 - 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.ukHosted by Ausha. See ausha.co/privacy-policy for more information.

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