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ML Platform teams with Prassanna Ravishankar from Papercup

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Manage episode 470592131 series 3651800
Content provided by Catherine Breslin. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Catherine Breslin 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.

Find Prass on LinkedIn, and find his Feed Forward podcast on Spotify & YouTube.

In this first episode, I talk with Prassanna Ravishankar from Papercup. Prass started his career as a computer vision researcher, before moving into Engineering & MLOps. He now leads the ML platform initiative at Papercup, which is a London-based startup providing AI dubbing solutions.

We cover

  • Prass' view of platforms and MLOps
  • Skills an ML Platform team needs
  • Keeping up with the fast-paced world of AI and MLOps
  • Engaging stakeholders in platform development
  • The impact that a platform team can have on an AI business
  • When startups should think about investing in dedicated MLOps capability
  • Lessons learned in the journey building Papercup's ML Platform
  continue reading

5 episodes

Artwork
iconShare
 
Manage episode 470592131 series 3651800
Content provided by Catherine Breslin. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Catherine Breslin 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.

Find Prass on LinkedIn, and find his Feed Forward podcast on Spotify & YouTube.

In this first episode, I talk with Prassanna Ravishankar from Papercup. Prass started his career as a computer vision researcher, before moving into Engineering & MLOps. He now leads the ML platform initiative at Papercup, which is a London-based startup providing AI dubbing solutions.

We cover

  • Prass' view of platforms and MLOps
  • Skills an ML Platform team needs
  • Keeping up with the fast-paced world of AI and MLOps
  • Engaging stakeholders in platform development
  • The impact that a platform team can have on an AI business
  • When startups should think about investing in dedicated MLOps capability
  • Lessons learned in the journey building Papercup's ML Platform
  continue reading

5 episodes

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