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Special Encore Presentation: Fighting Fraud: Predictive Technology to the Rescue? Part 3

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Archived series ("Inactive feed" status)

When? This feed was archived on May 09, 2020 01:07 (4y ago). Last successful fetch was on March 25, 2020 12:36 (4y ago)

Why? Inactive feed status. Our servers were unable to retrieve a valid podcast feed for a sustained period.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 187623397 series 1244557
Content provided by VoiceAmerica and Bonnie D. Graham. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by VoiceAmerica and Bonnie D. Graham 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.
The buzz: Fraud. As hard as you work to implement effective anti-fraud processes, voracious and savvy fraudsters are working even harder, and perhaps smarter, to thwart you. Good news! Predictive analytics technology can help you understand emerging fraud patterns and adapt against new types of attack, but only if you use the tools effectively. What will it take for your leadership to make this a priority? The experts speak. Derek Snaidauf, Deloitte: “The beginning is the most important part of the work” (Plato). Michael P Cangemi, Cangemi Company: “The uninspected (inevitably) deteriorates” (34th US President Dwight D. Eisenhower). Jérôme Pugnet, SAP: “Fraudulent actors often exhibit repetitive patterns. As we recognize these, we can apply heuristics to predict when they are about to occur again, and help stop them; but for complex, evolving fraud vectors, we turn to machine learning…” (Blog at Airbnb). Join us for Fighting Fraud: Predictive Technology to the Rescue? – Part 3.
  continue reading

93 episodes

Artwork
iconShare
 

Archived series ("Inactive feed" status)

When? This feed was archived on May 09, 2020 01:07 (4y ago). Last successful fetch was on March 25, 2020 12:36 (4y ago)

Why? Inactive feed status. Our servers were unable to retrieve a valid podcast feed for a sustained period.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 187623397 series 1244557
Content provided by VoiceAmerica and Bonnie D. Graham. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by VoiceAmerica and Bonnie D. Graham 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.
The buzz: Fraud. As hard as you work to implement effective anti-fraud processes, voracious and savvy fraudsters are working even harder, and perhaps smarter, to thwart you. Good news! Predictive analytics technology can help you understand emerging fraud patterns and adapt against new types of attack, but only if you use the tools effectively. What will it take for your leadership to make this a priority? The experts speak. Derek Snaidauf, Deloitte: “The beginning is the most important part of the work” (Plato). Michael P Cangemi, Cangemi Company: “The uninspected (inevitably) deteriorates” (34th US President Dwight D. Eisenhower). Jérôme Pugnet, SAP: “Fraudulent actors often exhibit repetitive patterns. As we recognize these, we can apply heuristics to predict when they are about to occur again, and help stop them; but for complex, evolving fraud vectors, we turn to machine learning…” (Blog at Airbnb). Join us for Fighting Fraud: Predictive Technology to the Rescue? – Part 3.
  continue reading

93 episodes

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