A textbook example of machine learning with Ron Glozman, CEO, Chisel AI episode artwork

EPISODE · Aug 24, 2021 · 30 MIN

A textbook example of machine learning with Ron Glozman, CEO, Chisel AI

from The Insurance Coffee House with Nick Hoadley

“We don’t like to think of it as head to head competition”, says Ron.Having taught his computer at university to summarise his 1000 page course textbooks, the Toronto-based founder of Chisel AI, shares his vision for how machine learning can work with humans. The goal is to make processes faster and better, reducing what usually takes an insurance carrier or broker 4 hours to 30 minutes.With 55% of those working in the insurance sector retiring in the next 10-15 years, Ron maintains that “Companies will need to be more efficient just to operate at the same capacity and scale they are today, let alone grow.”Ron challenges insurance professionals looking to gain experience in insurtech to examine their motivations and have realistic expectations.“Dream big. The industry is very old but it’s ripe with opportunities.”       Connect with Ron on LinkedIn or find out more about the Chisel storyThe Insurance Coffee House Podcast is brought to you by Insurance Search.We are a global Insurance Executive Search Consultancy, supporting Insurance and Insurtech businesses to attract and retain the very best insurance talent.Find out more about showcasing your employer brand as a guest on the Insurance Coffee House Podcast or sign up to our News and Insights. Or follow us on LinkedIn, Twitter or InstagramInsurance Executive Search Consultants in USA, UK and Bermuda. Copyright Insurance Search – All Rights Reserved.

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A textbook example of machine learning with Ron Glozman, CEO, Chisel AI

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