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Streamlining Financial Reporting with AI and NLG - with Emmanuel Walckenaer of YSEOP

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Manage episode 293830606 series 79750
Content provided by Daniel Faggella. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Daniel Faggella 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.

Today's guest is Emmanual Walckenaer, CEO of YSEOP, a company based in Paris and focused on Natural Language Generation. Emmanuel speaks to us today about workflows where automating reporting really delivers value, and we talk about two, in particular, one of which is credit risk. Understanding and assessing it, and what does that process look like today? What kind of data and insights are required, and where does AI fit into the mix? And we also look at improving report quality for people that are controllers or analysts. Emmanuel explores how the use cases work and how the underpinning data infrastructure comes together to create a natural language-generated report. This episode is sponsored by YSEOP. If you are interested in reaching Emerj's audience and learn more about our creative services and how brands work with Emerj, you can go to emerj.com/ad1

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815 episodes

Artwork
iconShare
 
Manage episode 293830606 series 79750
Content provided by Daniel Faggella. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Daniel Faggella 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.

Today's guest is Emmanual Walckenaer, CEO of YSEOP, a company based in Paris and focused on Natural Language Generation. Emmanuel speaks to us today about workflows where automating reporting really delivers value, and we talk about two, in particular, one of which is credit risk. Understanding and assessing it, and what does that process look like today? What kind of data and insights are required, and where does AI fit into the mix? And we also look at improving report quality for people that are controllers or analysts. Emmanuel explores how the use cases work and how the underpinning data infrastructure comes together to create a natural language-generated report. This episode is sponsored by YSEOP. If you are interested in reaching Emerj's audience and learn more about our creative services and how brands work with Emerj, you can go to emerj.com/ad1

  continue reading

815 episodes

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