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How to Predict Risk with Computer Vision with Jeff Goldsmith, VP of Marketing at CompScience

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Manage episode 393340672 series 3411501
Content provided by Don Halliwell. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Don Halliwell 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://player.fm/legal.
In the latest episode of Risk Management: Brick by Brick, it’s the last day of InsureTech Connect 2023, but Jason Reichl still has time to chat with one more of the leading figures in the Risk Management world. This time, he’s with Jeff Goldsmith, VP of Marketing at CompScience, an organization named number one InsurTech startup by Sønr and ITC. By harnessing the predictive power of data, CompScience is empowering risk consultants with computer vision that can predict accidents before they happen.

Jason and Jeff dig down into both how this technology-first approach works but also how to educate and market this kind of tool to the modern risk manager, the people who are looking to innovate in this space. Will it even be remarkable to denote a tool like this as AI in the future or will it just be a fully accepted analytical tool – Jeff thinks so and he’ll explain how he focuses on the tangible benefits, lower premiums, lower risk, higher retention.

To find out how TrustLayer manages risk so that people can build the physical world around us, head to TrustLayer.io.

Episode resources:

If you enjoyed this episode, please (with a cherry on top):

Risk Management: Brick by Brick is handcrafted by our friends over at: fame.so
Previous guests include: Seth Hausman of Kraus-Anderson Insurance, Matthew Meyer of The Horton Group, Diana Rich of Foundation Building Materials, Christy McHenry of Suffolk Construction, Mark Rieder of NFP, and Cory Mangum of Primoris Services Corporation.
Check out the three most downloaded episodes:

If you are interested in being a guest on Risk Management: Brick by Brick, please complete this form: fame.so/trs-guest
  continue reading

44 episodes

Artwork
iconShare
 
Manage episode 393340672 series 3411501
Content provided by Don Halliwell. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Don Halliwell 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://player.fm/legal.
In the latest episode of Risk Management: Brick by Brick, it’s the last day of InsureTech Connect 2023, but Jason Reichl still has time to chat with one more of the leading figures in the Risk Management world. This time, he’s with Jeff Goldsmith, VP of Marketing at CompScience, an organization named number one InsurTech startup by Sønr and ITC. By harnessing the predictive power of data, CompScience is empowering risk consultants with computer vision that can predict accidents before they happen.

Jason and Jeff dig down into both how this technology-first approach works but also how to educate and market this kind of tool to the modern risk manager, the people who are looking to innovate in this space. Will it even be remarkable to denote a tool like this as AI in the future or will it just be a fully accepted analytical tool – Jeff thinks so and he’ll explain how he focuses on the tangible benefits, lower premiums, lower risk, higher retention.

To find out how TrustLayer manages risk so that people can build the physical world around us, head to TrustLayer.io.

Episode resources:

If you enjoyed this episode, please (with a cherry on top):

Risk Management: Brick by Brick is handcrafted by our friends over at: fame.so
Previous guests include: Seth Hausman of Kraus-Anderson Insurance, Matthew Meyer of The Horton Group, Diana Rich of Foundation Building Materials, Christy McHenry of Suffolk Construction, Mark Rieder of NFP, and Cory Mangum of Primoris Services Corporation.
Check out the three most downloaded episodes:

If you are interested in being a guest on Risk Management: Brick by Brick, please complete this form: fame.so/trs-guest
  continue reading

44 episodes

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