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Simplifying the AI/ML to Production Pipeline with Görkem Ercan

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Content provided by Joe Colantonio. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Joe Colantonio 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://ro.player.fm/legal.

Today, we're joined by Görkem Ercan , Jozu's CTO. With over 25 years of experience in developer tools and DevOps, Gorkem has significantly contributed to projects like Eclipse and the VS Code Java Extension.

In this episode, we'll dive into the intricate world of AI and machine learning in regulated industries, the importance of data science teams, and how Jozu's innovative open-source project, KitOps ML, aims to streamline AI/ML model management.

We'll also explore the growing necessity of MLOps, the unique challenges of integrating AI/ML models into existing systems, and the evolving role of AI in coding. Get ready for an enlightening discussion on the future of AI technologies, compliance, and how developers can better navigate this rapidly changing landscape. Listen up!

  continue reading

143 episoade

Artwork
iconDistribuie
 
Manage episode 445431162 series 2625788
Content provided by Joe Colantonio. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Joe Colantonio 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://ro.player.fm/legal.

Today, we're joined by Görkem Ercan , Jozu's CTO. With over 25 years of experience in developer tools and DevOps, Gorkem has significantly contributed to projects like Eclipse and the VS Code Java Extension.

In this episode, we'll dive into the intricate world of AI and machine learning in regulated industries, the importance of data science teams, and how Jozu's innovative open-source project, KitOps ML, aims to streamline AI/ML model management.

We'll also explore the growing necessity of MLOps, the unique challenges of integrating AI/ML models into existing systems, and the evolving role of AI in coding. Get ready for an enlightening discussion on the future of AI technologies, compliance, and how developers can better navigate this rapidly changing landscape. Listen up!

  continue reading

143 episoade

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