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Fraud Analytics in Investigations

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Manage episode 466122012 series 3559413
Content provided by IIA Podcasts and The Institute of Internal Auditors. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by IIA Podcasts and The Institute of Internal Auditors 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://ppacc.player.fm/legal.

The Institute of Internal Auditors Presents: All Things Internal Audit Tech

In this episode, Ernest Anunciacion and Tom Keaton discuss the evolving role of fraud analytics in internal auditing. They cover how data analytics and AI can improve fraud detection and prevention, along with the challenges and practical strategies for success.

Host: Ernest Anunciacion, CIA, head of product marketing, MindBridge

Guest: Tom Keaton, CIA, CRMA, CFE, CISA, director of Internal Audit, Crown Castle

Key Points

  • Introduction [00:00-00:00:06]
  • Ernest’s background [00:00:07-00:00:54]
  • Tom’s background [00:00:55-00:01:50]
  • Impact of data analytics and AI on fraud detection [00:01:51-00:04:27]
  • Challenges in implementing data analytics in internal audit [00:04:28-00:07:06]
  • Using data analytics for fraud investigation [00:07:07-00:09:32]
  • Predictive analytics and identifying fraud trends [00:09:33-00:12:06]
  • Continuous monitoring vs. early warning dashboards [00:12:07-00:15:45]
  • Skills required for fraud analytics [00:15:46-00:19:03]
  • Role of AI in fraud investigations [00:19:04-00:24:04]
  • Future of AI in internal audit [00:24:05-00:25:27]
  • Interesting fraud investigation stories [00:25:28-00:29:00]
  • Closing remarks [00:29:01-00:30:03]

The IIA Related Content Interested in this topic? Visit the links below for more resources:

Visit The IIA's website or YouTube channel for related topics and more.

Resources Mentioned

Follow All Things Internal Audit: Apple PodcastsSpotify LibsynDeezer

  continue reading

67 episodes

Artwork
iconShare
 
Manage episode 466122012 series 3559413
Content provided by IIA Podcasts and The Institute of Internal Auditors. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by IIA Podcasts and The Institute of Internal Auditors 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://ppacc.player.fm/legal.

The Institute of Internal Auditors Presents: All Things Internal Audit Tech

In this episode, Ernest Anunciacion and Tom Keaton discuss the evolving role of fraud analytics in internal auditing. They cover how data analytics and AI can improve fraud detection and prevention, along with the challenges and practical strategies for success.

Host: Ernest Anunciacion, CIA, head of product marketing, MindBridge

Guest: Tom Keaton, CIA, CRMA, CFE, CISA, director of Internal Audit, Crown Castle

Key Points

  • Introduction [00:00-00:00:06]
  • Ernest’s background [00:00:07-00:00:54]
  • Tom’s background [00:00:55-00:01:50]
  • Impact of data analytics and AI on fraud detection [00:01:51-00:04:27]
  • Challenges in implementing data analytics in internal audit [00:04:28-00:07:06]
  • Using data analytics for fraud investigation [00:07:07-00:09:32]
  • Predictive analytics and identifying fraud trends [00:09:33-00:12:06]
  • Continuous monitoring vs. early warning dashboards [00:12:07-00:15:45]
  • Skills required for fraud analytics [00:15:46-00:19:03]
  • Role of AI in fraud investigations [00:19:04-00:24:04]
  • Future of AI in internal audit [00:24:05-00:25:27]
  • Interesting fraud investigation stories [00:25:28-00:29:00]
  • Closing remarks [00:29:01-00:30:03]

The IIA Related Content Interested in this topic? Visit the links below for more resources:

Visit The IIA's website or YouTube channel for related topics and more.

Resources Mentioned

Follow All Things Internal Audit: Apple PodcastsSpotify LibsynDeezer

  continue reading

67 episodes

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