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One thing enterprise AI projects need to succeed? Community.

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Manage episode 519169970 series 1123725
Content provided by Stack Overflow and The Stack Overflow Podcast. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stack Overflow and The Stack Overflow Podcast 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.

In this episode of Leaders of Code, Stack Overflow CEO Prashanth Chandrasekar chats with Ramprasad Rai, VP of Platform Engineering at JPMorgan Chase & Co., about the unique challenges of implementing AI in an enterprise environment. They discuss how organizations can balance AI-driven productivity with strict compliance and security requirements by leveraging a community-driven knowledge system that grounds probabilistic AI tools in internal, trusted expertise.

The discussion also:

  • Explores why AI models often hallucinate in enterprise environments due to a lack of internal context.
  • Highlights how Stack Overflow’s structured Q&A data provides ideal fine-tuning material for the next generation of AI models.

Notes

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

  continue reading

892 episodes

Artwork
iconShare
 
Manage episode 519169970 series 1123725
Content provided by Stack Overflow and The Stack Overflow Podcast. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stack Overflow and The Stack Overflow Podcast 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.

In this episode of Leaders of Code, Stack Overflow CEO Prashanth Chandrasekar chats with Ramprasad Rai, VP of Platform Engineering at JPMorgan Chase & Co., about the unique challenges of implementing AI in an enterprise environment. They discuss how organizations can balance AI-driven productivity with strict compliance and security requirements by leveraging a community-driven knowledge system that grounds probabilistic AI tools in internal, trusted expertise.

The discussion also:

  • Explores why AI models often hallucinate in enterprise environments due to a lack of internal context.
  • Highlights how Stack Overflow’s structured Q&A data provides ideal fine-tuning material for the next generation of AI models.

Notes

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

  continue reading

892 episodes

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