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A Guide for Actuaries: Using LLMs with Purpose and Precision

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Manage episode 481175608 series 3410811
Content provided by Society of Actuaries. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Society of Actuaries 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.

In this episode of Get Plugged In: AI Insights, Dale Hall speaks with Caesar Balona, Senior Manager of Catastrophe and Climate Modelling at Old Mutual Insure, about his new report on integrating Large Language Models (LLMs) into actuarial workflows. The conversation explores practical applications, ethical considerations, and how actuaries can adopt generative AI tools thoughtfully and effectively.

Read the report: https://www.soa.org/resources/research-reports/2025/operationalizing-genai-actuaries/

Send us your feedback at [email protected]

  continue reading

45 episodes

Artwork
iconShare
 
Manage episode 481175608 series 3410811
Content provided by Society of Actuaries. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Society of Actuaries 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.

In this episode of Get Plugged In: AI Insights, Dale Hall speaks with Caesar Balona, Senior Manager of Catastrophe and Climate Modelling at Old Mutual Insure, about his new report on integrating Large Language Models (LLMs) into actuarial workflows. The conversation explores practical applications, ethical considerations, and how actuaries can adopt generative AI tools thoughtfully and effectively.

Read the report: https://www.soa.org/resources/research-reports/2025/operationalizing-genai-actuaries/

Send us your feedback at [email protected]

  continue reading

45 episodes

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