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Data Governance in the Age of GenAI for Financial Services - with Andrew Beddoes of Provenir

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Manage episode 421801529 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://player.fm/legal.

Today’s guest is Andrew Beddoes, Business Consultant at Provenir. Provenir is a software company that develops an AI-powered credit risk decisioning platform. Andrew joins us on today’s show to talk about leveraging data and generative AI to find insights into consumer behavior data surrounding collections workflows. Throughout the episode, Andrew cites use cases that exemplify how mining such data results in better consumer relationships and more reliable revenue streams. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

  continue reading

144 episodes

Artwork
iconShare
 
Manage episode 421801529 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://player.fm/legal.

Today’s guest is Andrew Beddoes, Business Consultant at Provenir. Provenir is a software company that develops an AI-powered credit risk decisioning platform. Andrew joins us on today’s show to talk about leveraging data and generative AI to find insights into consumer behavior data surrounding collections workflows. Throughout the episode, Andrew cites use cases that exemplify how mining such data results in better consumer relationships and more reliable revenue streams. If you’ve enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

  continue reading

144 episodes

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