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Responsible AI That Scales Across Customer Workflows - with Miranda Jones of Emprise Bank

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Manage episode 496522284 series 2728612
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://podcastplayer.com/legal.

Today’s guest is Miranda Jones, SVP of Data & AI Strategy at Emprise Bank. Miranda returns to discuss the evolving reality of responsible AI in the financial services sector. As generative and agentic systems mature, Jones emphasizes the importance of creating safe, low-risk environments where employees can experiment, learn prompt engineering, and develop a critical understanding of model limitations. She explores why domain-specific models outperform generalized foundational models in banking—where context, compliance, and communication style are essential to trust and performance. The episode also examines the strategic value of maintaining a deliberate pace in adopting agentic AI, ensuring human oversight and alignment with regulatory expectations. 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!

  continue reading

998 episodes

Artwork
iconShare
 
Manage episode 496522284 series 2728612
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://podcastplayer.com/legal.

Today’s guest is Miranda Jones, SVP of Data & AI Strategy at Emprise Bank. Miranda returns to discuss the evolving reality of responsible AI in the financial services sector. As generative and agentic systems mature, Jones emphasizes the importance of creating safe, low-risk environments where employees can experiment, learn prompt engineering, and develop a critical understanding of model limitations. She explores why domain-specific models outperform generalized foundational models in banking—where context, compliance, and communication style are essential to trust and performance. The episode also examines the strategic value of maintaining a deliberate pace in adopting agentic AI, ensuring human oversight and alignment with regulatory expectations. 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!

  continue reading

998 episodes

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