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41. Synthetic data for impact: how to innovate in health insurance with Daniela Pak-Graf, Merkur Innovation Lab

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Manage episode 364894830 series 2895967
Content provided by Alexandra Ebert (MOSTLY AI). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Alexandra Ebert (MOSTLY AI) 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://ppacc.player.fm/legal.

In this episode of the Data Democratization Podcast, host Alexandra Ebert interviews Daniela Pak-Graf, the managing director of Merkur Innovation Lab — the innovation arm of Merkur Insurance. Daniela shares her tips and best practices for innovating with data in one of the most conservative and sensitive industries, health insurance. Tune in to find out how to accelerate innovation through effective data management, forward thinking organizational decisions and enabling technologies, like AI-powered synthetic data generation.

  continue reading

52 episodes

Artwork
iconShare
 
Manage episode 364894830 series 2895967
Content provided by Alexandra Ebert (MOSTLY AI). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Alexandra Ebert (MOSTLY AI) 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://ppacc.player.fm/legal.

In this episode of the Data Democratization Podcast, host Alexandra Ebert interviews Daniela Pak-Graf, the managing director of Merkur Innovation Lab — the innovation arm of Merkur Insurance. Daniela shares her tips and best practices for innovating with data in one of the most conservative and sensitive industries, health insurance. Tune in to find out how to accelerate innovation through effective data management, forward thinking organizational decisions and enabling technologies, like AI-powered synthetic data generation.

  continue reading

52 episodes

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