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Fintech One-on-One: Anu Sachdeva, Global Business & Service Line Leader of Genpact

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Manage episode 382037524 series 3360203
Inhalt bereitgestellt von Fintech Nexus. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Fintech Nexus oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

There is no technology that has generated more buzz this year than generative AI. We have all played around with ChatGPT and marveled at its capabilities. But what is really happening with this technology in financial services? Or more importantly, what is going to happen?
My next guest on the Fintech One-on-One podcast is Anu Sachdeva, Global Business and Service Line Leader at Genpact. She has deep knowledge of banking and fintech and has become an expert on generative AI and how it will impact financial services. This is our first deep dive into generative AI on the podcast, but it will certainly not be the last.
In this podcast you will learn:

  • How Genpact works with banks and fintechs.
  • How Anu first became interested in generative AI.
  • What Genpact is doing with generative AI internally.
  • How financial services can help unlock the potential of generative AI.
  • The use case of using generative AI in anti-money laundering.
  • The fundamental principles that Genpact employs when engaging with banking partners.
  • How we should be thinking about generative AI.
  • The impact of generative AI on the employee makeup of banks and fintechs.
  • Will fintechs or banks take the lead with incorporating generative AI.
  • How we should think about compliance risk when it comes to generative AI.
  • The opportunity for better personalization.
  • A look to the future of where generative AI is going.

Connect with Anu on LinkedIn
Connect with Genpact on LinkedIn

Connect with Fintech One-on-One:

  continue reading

368 Episoden

Artwork
iconTeilen
 
Manage episode 382037524 series 3360203
Inhalt bereitgestellt von Fintech Nexus. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Fintech Nexus oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

There is no technology that has generated more buzz this year than generative AI. We have all played around with ChatGPT and marveled at its capabilities. But what is really happening with this technology in financial services? Or more importantly, what is going to happen?
My next guest on the Fintech One-on-One podcast is Anu Sachdeva, Global Business and Service Line Leader at Genpact. She has deep knowledge of banking and fintech and has become an expert on generative AI and how it will impact financial services. This is our first deep dive into generative AI on the podcast, but it will certainly not be the last.
In this podcast you will learn:

  • How Genpact works with banks and fintechs.
  • How Anu first became interested in generative AI.
  • What Genpact is doing with generative AI internally.
  • How financial services can help unlock the potential of generative AI.
  • The use case of using generative AI in anti-money laundering.
  • The fundamental principles that Genpact employs when engaging with banking partners.
  • How we should be thinking about generative AI.
  • The impact of generative AI on the employee makeup of banks and fintechs.
  • Will fintechs or banks take the lead with incorporating generative AI.
  • How we should think about compliance risk when it comes to generative AI.
  • The opportunity for better personalization.
  • A look to the future of where generative AI is going.

Connect with Anu on LinkedIn
Connect with Genpact on LinkedIn

Connect with Fintech One-on-One:

  continue reading

368 Episoden

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