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Breaking Complexity in Banking Risk Operations With AI - with Nathaniel Bell of Wells Fargo

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Manage episode 484888418 series 79750
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.

In this episode of the ‘AI in Business’ podcast, Nathaniel Bell, Data Management Director at Wells Fargo, returns to discuss the evolving role of AI in risk management, compliance, and enterprise automation in banking. Host and Emerj Editorial Director Matthew DeMello and Nathaniel explore how financial institutions can balance innovation with caution as deterministic, generative, and agentic AI technologies move from experimentation to production. He goes on to outline how simple automation and deterministic models are already creating meaningful efficiencies in audit workflows and compliance reporting—areas where rules-based logic remains dominant. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business’ podcast! This episode is sponsored by Automation Anywhere. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

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956 episodes

Artwork
iconShare
 
Manage episode 484888418 series 79750
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.

In this episode of the ‘AI in Business’ podcast, Nathaniel Bell, Data Management Director at Wells Fargo, returns to discuss the evolving role of AI in risk management, compliance, and enterprise automation in banking. Host and Emerj Editorial Director Matthew DeMello and Nathaniel explore how financial institutions can balance innovation with caution as deterministic, generative, and agentic AI technologies move from experimentation to production. He goes on to outline how simple automation and deterministic models are already creating meaningful efficiencies in audit workflows and compliance reporting—areas where rules-based logic remains dominant. Want to share your AI adoption story with executive peers? Click emerj.com/expert2 for more information and to be a potential future guest on the ‘AI in Business’ podcast! This episode is sponsored by Automation Anywhere. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

  continue reading

956 episodes

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