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Why Domain-Specific AI Beats General Purpose Models in Financial Services - with Jim Palmer of Dialpad

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Content provided by Daniel Faggella. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Daniel Faggella 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://ppacc.player.fm/legal.

Jim Palmer, Chief AI Officer at Dialpad, returns to the ‘AI in Financial Services’ podcast to discuss the next evolution in enterprise AI: agentic systems. These autonomous tools promise dramatic changes to how work is done, but only if grounded in real-world applications and use cases. Throughout the episode, Jim outlines how domain-specific data, rigorous back-office testing, and a layered trust framework help organizations move beyond hype cycles. Rather than focusing on full automation, he emphasizes augmentation, enabling human agents with AI-driven coaching, automated assistance, and context-aware insights. Click emerj.com/e2 for more information and to be a potential future guest on Emerj’s flagship ‘AI in Business’ podcast!

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168 episodes

Artwork
iconShare
 
Manage episode 480727285 series 2526416
Content provided by Daniel Faggella. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Daniel Faggella 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://ppacc.player.fm/legal.

Jim Palmer, Chief AI Officer at Dialpad, returns to the ‘AI in Financial Services’ podcast to discuss the next evolution in enterprise AI: agentic systems. These autonomous tools promise dramatic changes to how work is done, but only if grounded in real-world applications and use cases. Throughout the episode, Jim outlines how domain-specific data, rigorous back-office testing, and a layered trust framework help organizations move beyond hype cycles. Rather than focusing on full automation, he emphasizes augmentation, enabling human agents with AI-driven coaching, automated assistance, and context-aware insights. Click emerj.com/e2 for more information and to be a potential future guest on Emerj’s flagship ‘AI in Business’ podcast!

  continue reading

168 episodes

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