Difference between revisions of "Improper Payments"

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[https://www.google.com/search?q=Improper+Payments+artificial+intelligence+deep+machine+learning ...Google search]
 
[https://www.google.com/search?q=Improper+Payments+artificial+intelligence+deep+machine+learning ...Google search]
  
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* [[Case Studies]]
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* [[Risk, Compliance and Regulation]]
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** [[Risk, Compliance and Regulation]]
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* [[Finance & Accounting]]
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** [[Finance & Accounting]]
 
 
* [[Cybersecurity]] ... [[Open-Source Intelligence - OSINT |OSINT]] ... [[Cybersecurity Frameworks, Architectures & Roadmaps | Frameworks]] ... [[Cybersecurity References|References]] ... [[Offense - Adversarial Threats/Attacks| Offense]] ... [[National Institute of Standards and Technology (NIST)|NIST]] ... [[U.S. Department of Homeland Security (DHS)| DHS]] ... [[Screening; Passenger, Luggage, & Cargo|Screening]] ... [[Law Enforcement]] ... [[Government Services|Government]] ... [[Defense]] ... [[Joint Capabilities Integration and Development System (JCIDS)#Cybersecurity & Acquisition Lifecycle Integration| Lifecycle Integration]] ... [[Cybersecurity Companies/Products|Products]] ... [[Cybersecurity: Evaluating & Selling|Evaluating]]
 
* [[Cybersecurity]] ... [[Open-Source Intelligence - OSINT |OSINT]] ... [[Cybersecurity Frameworks, Architectures & Roadmaps | Frameworks]] ... [[Cybersecurity References|References]] ... [[Offense - Adversarial Threats/Attacks| Offense]] ... [[National Institute of Standards and Technology (NIST)|NIST]] ... [[U.S. Department of Homeland Security (DHS)| DHS]] ... [[Screening; Passenger, Luggage, & Cargo|Screening]] ... [[Law Enforcement]] ... [[Government Services|Government]] ... [[Defense]] ... [[Joint Capabilities Integration and Development System (JCIDS)#Cybersecurity & Acquisition Lifecycle Integration| Lifecycle Integration]] ... [[Cybersecurity Companies/Products|Products]] ... [[Cybersecurity: Evaluating & Selling|Evaluating]]
  
 
== Improper Payments ==
 
== Improper Payments ==
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* https://federalnewsnetwork.com/artificial-intelligence/2020/07/machine-learning-could-reduce-improper-cares-act-payments/ Machine learning could reduce improper CARES Act payments | Tom Temin - Federal News Network]
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* [https://federalnewsnetwork.com/artificial-intelligence/2020/07/machine-learning-could-reduce-improper-cares-act-payments/ Machine learning could reduce improper CARES Act payments | Tom Temin - Federal News Network]
  
 
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Latest revision as of 19:03, 12 July 2023

YouTube search... ...Google search

Improper Payments

Implementation Case Study Using AI to Reduce Improper Payments
This award-winning project at the Centers for Medicare and Medicaid Services utilizes a combination of AI tools to expedite the intake and validation of medical records. Recognized by the 2019 Government Innovation Awards and ACT-IAC's 2019 Igniting Innovation Awards, this project has generated a significant return on investment since going live in April 2019. This session explored the solution development process, technologies harnessed, and the project’s results to date. Payam Mousavi, Director, Government Intelligent Automation, KPMG

Reducing Improper Payments with Automation, Robotics, and AI
Federal News Network Segment 1 Jason Miller

Reducing Improper Payments with Automation, Robotics, and AI
Federal News Network Segment 2 Jason Miller

Reducing Improper Payments with Automation, Robotics, and AI
Federal News Network Segment 3 Jason Miller

PDT2019 Session W113: Improper Payments Demystified
AGACGFM

Leveraging Analytics to Understand and Prevent Government Improper Payments
Improper payments are a challenge that every US federal agency faces. In 2019 alone, the government issued $175 billion in improper payments through various agencies. Watch a demo of how the federal government can leverage enterprise analytics to better understand the root cause of improper payments and devise proactive strategies to prevent them.

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