Bridging The Gap Between Traditional Models And Machine Learning In Actuarial Science Get Plugged In podcast

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.

Get Plugged In »
Bridging the Gap Between Traditional Models and Machine Learning in Actuarial Science

1d ago 25:47

MP3•Episode home

Bridging the Gap Between Traditional Models and Machine Learning in Actuarial Science

In this episode of Get Plugged In – AI Insights, host Dale Hall, Managing Director of Research at the Society of Actuaries, welcomes Ronald Richman, Founder and CEO of insureAI, to discuss the evolving role of machine learning in actuarial work.

Actuaries have long relied on established statistical models grounded in theory and industry experience. But as machine learning continues to revolutionize data analysis, it brings new opportunities—and new challenges—for the profession. Dale and Ronald explore the differences between traditional actuarial methods and modern machine learning techniques, the practical applications of AI in insurance today, and how actuaries can prepare themselves for a data-driven future.

Listeners can dive deeper into this topic by visiting the Society of Actuaries Research Institute's Artificial Intelligence topic landing page: https://www.soa.org/research/topics/artificial-intelligence-topic-landing

Send us your feedback at [email protected]

53 episodes

#Tech #Business #Society of Actuaries #Actuarialscience #Getpluggedin #Plugandplay #Societyofactuaries #Insurtech #Actuaries #SOAS