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One thing enterprise AI projects need to succeed? Community.

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Manage episode 519169970 series 1123725
Innhold levert av Stack Overflow and The Stack Overflow Podcast. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Stack Overflow and The Stack Overflow Podcast eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/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

891 episoder

Artwork
iconDel
 
Manage episode 519169970 series 1123725
Innhold levert av Stack Overflow and The Stack Overflow Podcast. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Stack Overflow and The Stack Overflow Podcast eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/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

891 episoder

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