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Leveled Approaches to AI for Asset Management Challenges - with Aman Thind of State Street

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Manage episode 418153351 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 Aman Thind, Chief Architect at State Street. He joins us in the program today to talk about practical applications of AI across asset management workflows and what advanced generative technologies will mean for the sector in the long term. Throughout the program, Aman makes a finer point about the possibilities for content generation, administration, and data governance as these technologies advance in the coming years. This episode is sponsored by Deloitte. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

  continue reading

834 episodes

Artwork
iconShare
 
Manage episode 418153351 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 Aman Thind, Chief Architect at State Street. He joins us in the program today to talk about practical applications of AI across asset management workflows and what advanced generative technologies will mean for the sector in the long term. Throughout the program, Aman makes a finer point about the possibilities for content generation, administration, and data governance as these technologies advance in the coming years. This episode is sponsored by Deloitte. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.

  continue reading

834 episodes

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