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Use Cases in AI-Driven Personal Insurance - with Matt Marolda of Acrisure

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Manage episode 468197202 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://podcastplayer.com/legal.

Today’s guest is Matt Marolda, Chief Innovation Officer at Acrisure. Acrisure is a global insurance broker and fintech financial services provider. Matt returns to the program this week to explore the impact of AI on industry practices, from streamlining workflows to automating customer interactions and enhancing decision-making with predictive analytics. Our discussion examines how AI can process data more efficiently, identifying patterns in customer behavior and refining risk assessments. 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

178 episodes

Artwork
iconShare
 
Manage episode 468197202 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://podcastplayer.com/legal.

Today’s guest is Matt Marolda, Chief Innovation Officer at Acrisure. Acrisure is a global insurance broker and fintech financial services provider. Matt returns to the program this week to explore the impact of AI on industry practices, from streamlining workflows to automating customer interactions and enhancing decision-making with predictive analytics. Our discussion examines how AI can process data more efficiently, identifying patterns in customer behavior and refining risk assessments. 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

178 episodes

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