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Fintech One-on-One: Adam Famularo, CEO of WorkFusion

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Manage episode 405378680 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.

AI is making its way into many areas of banking and fintech but one area where it already has a strong foothold is detecting financial crime. And there are some companies doing new and innovative things with this AI technology here.

My next guest on the Fintech One-on-One podcast is Adam Famularo, the CEO of WorkFusion. His company has created these AI digital workers that are integrated into the workforce of a bank or fintech. These are real digital assistants that have been brought to life by WorkFusion.

In this podcast you will learn:

  • What attracted Adam to the CEO role at WorkFusion.
  • How he describes the company today.
  • How their AI Digital Workers operate and the different job roles they have.
  • An explanation of the use cases for these digital workers.
  • How they have trained the digital workers.
  • How banks are augmenting these digital workers with their workforce.
  • What kind of feedback they have received by humanizing their AI models.
  • What is involved in the onboarding process.
  • Where the AI digital workers fit within their core software.
  • The typical organizations using WorkFusion today.
  • A couple of case studies from banks using their software.
  • How much they are reliant on LLMs and Gen AI.
  • How they reduce the risk of errors or hallucinations.
  • What this will all look like in five years.
  • How this will impact the human workers interacting with the AI workers.

Connect with Adam on LinkedIn
Connect with WorkFusion on LinkedIn

Connect with Fintech One-on-One:

  continue reading

368 Episoden

Artwork
iconTeilen
 
Manage episode 405378680 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.

AI is making its way into many areas of banking and fintech but one area where it already has a strong foothold is detecting financial crime. And there are some companies doing new and innovative things with this AI technology here.

My next guest on the Fintech One-on-One podcast is Adam Famularo, the CEO of WorkFusion. His company has created these AI digital workers that are integrated into the workforce of a bank or fintech. These are real digital assistants that have been brought to life by WorkFusion.

In this podcast you will learn:

  • What attracted Adam to the CEO role at WorkFusion.
  • How he describes the company today.
  • How their AI Digital Workers operate and the different job roles they have.
  • An explanation of the use cases for these digital workers.
  • How they have trained the digital workers.
  • How banks are augmenting these digital workers with their workforce.
  • What kind of feedback they have received by humanizing their AI models.
  • What is involved in the onboarding process.
  • Where the AI digital workers fit within their core software.
  • The typical organizations using WorkFusion today.
  • A couple of case studies from banks using their software.
  • How much they are reliant on LLMs and Gen AI.
  • How they reduce the risk of errors or hallucinations.
  • What this will all look like in five years.
  • How this will impact the human workers interacting with the AI workers.

Connect with Adam on LinkedIn
Connect with WorkFusion on LinkedIn

Connect with Fintech One-on-One:

  continue reading

368 Episoden

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