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Artificial Intelligence to Provide Fair Access to Credit

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Manage episode 285947411 series 2883917
Content provided by Disruption Everywhere Team. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Disruption Everywhere Team 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.

In this episode of the Disruption Everywhere podcast, we will be discussing how creditworthiness assessment can benefit from the introduction of machine learning practices. Ioanna Stanegloudi, co-Founder & Chief Risk Officer of Finclude will explain the challenges European citizens face without a uniform credit scoring system and how the recent updates in European regulation help in this direction. European citizens are free to use their banking data as they see fit and fintech startups are here to take their financial well being to the next level.

  continue reading

31 episodes

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iconShare
 
Manage episode 285947411 series 2883917
Content provided by Disruption Everywhere Team. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Disruption Everywhere Team 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.

In this episode of the Disruption Everywhere podcast, we will be discussing how creditworthiness assessment can benefit from the introduction of machine learning practices. Ioanna Stanegloudi, co-Founder & Chief Risk Officer of Finclude will explain the challenges European citizens face without a uniform credit scoring system and how the recent updates in European regulation help in this direction. European citizens are free to use their banking data as they see fit and fintech startups are here to take their financial well being to the next level.

  continue reading

31 episodes

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