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Contenuto fornito da Insurance Search. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Insurance Search o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
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A textbook example of machine learning with Ron Glozman, CEO, Chisel AI

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Manage episode 300655359 series 2864735
Contenuto fornito da Insurance Search. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Insurance Search o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

“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 story

The Insurance Coffee House Podcast is hosted by Nick Hoadley, CEO of Insurance Search, the Executive Search Consultancy for growing Insurance and Insurtech businesses in the United States and UK.

To discuss identifying & attracting the very best talent to your team or being a podcast guest, reach out to Nick via www.insurance-search.com or email nick.hoadley@insurance-search.com

Copyright Insurance Search 2021 – All Rights Reserved.

  continue reading

187 episodi

Artwork
iconCondividi
 
Manage episode 300655359 series 2864735
Contenuto fornito da Insurance Search. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Insurance Search o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

“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 story

The Insurance Coffee House Podcast is hosted by Nick Hoadley, CEO of Insurance Search, the Executive Search Consultancy for growing Insurance and Insurtech businesses in the United States and UK.

To discuss identifying & attracting the very best talent to your team or being a podcast guest, reach out to Nick via www.insurance-search.com or email nick.hoadley@insurance-search.com

Copyright Insurance Search 2021 – All Rights Reserved.

  continue reading

187 episodi

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