Improper Payments - Revision history

BPeat at 00:03, 13 July 2023

2023-07-13T00:03:59Z

BPeat: /* Improper Payments */

2023-07-05T10:32:45Z

‎Improper Payments

BPeat at 10:32, 5 July 2023

2023-07-05T10:32:26Z

BPeat at 12:11, 5 May 2023

2023-05-05T12:11:52Z

BPeat at 19:00, 17 March 2023

2023-03-17T19:00:59Z

BPeat at 21:20, 16 February 2023

2023-02-16T21:20:51Z

BPeat: Created page with "{{#seo: |title=PRIMO.ai |titlemode=append |keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, Tensorflow, Google, Nvidia, M..."

2020-08-29T15:33:52Z

Created page with "{{#seo: |title=PRIMO.ai |titlemode=append |keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, Tensorflow, Google, Nvidia, M..."

New page

{{#seo:
|title=PRIMO.ai
|titlemode=append
|keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, Tensorflow, Google, Nvidia, Microsoft, Azure, Amazon, AWS
|description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools
}}
[http://www.youtube.com/results?search_query=Improper+Payments+artificial+intelligence+deep+machine+learning YouTube search...]
[http://www.google.com/search?q=Improper+Payments+artificial+intelligence+deep+machine+learning ...Google search]

* [[Case Studies]]
** [[Risk, Compliance and Regulation]]
** [[Finance & Accounting]]
** [[Government Services]]

== Improper Payments ==
* http://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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<youtube>bwgC6nn4HLk</youtube>
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
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{| class="wikitable" style="width: 550px;"
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<youtube>qzZVUx1RCRY</youtube>
Reducing Improper Payments with Automation, Robotics, and AI
 Federal News Network Segment 1 Jason Miller
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{| class="wikitable" style="width: 550px;"
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<youtube>aCVI97e1TLM</youtube>
Reducing Improper Payments with Automation, Robotics, and AI
 Federal News Network Segment 2 Jason Miller
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{| class="wikitable" style="width: 550px;"
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<youtube>qPRpEMSYWX0</youtube>
Reducing Improper Payments with Automation, Robotics, and AI
 Federal News Network Segment 3 Jason Miller
|}
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{| class="wikitable" style="width: 550px;"
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<youtube>NGfsmzqtlfM</youtube>
PDT2019 Session W113: Improper Payments Demystified
 AGACGFM
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{| class="wikitable" style="width: 550px;"
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<youtube>uFIXg2Z5Jq4</youtube>
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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@@ Line 23: / Line 23: @@
 == Improper Payments ==
-* 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]
+* [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]
 {|<!-- T -->

@@ Line 22: / Line 22: @@
 <youtube>bwgC6nn4HLk</youtube>
 <b>Implementation Case Study Using AI to Reduce Improper Payments
-</b><br>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
+</b><br>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
 |}
 |<!-- M -->

@@ Line 17: / Line 17: @@
 [https://www.google.com/search?q=Improper+Payments+artificial+intelligence+deep+machine+learning ...Google search]
-* [[Case Studies]]
+* [[Risk, Compliance and Regulation]]
-** [[Risk, Compliance and Regulation]]
+* [[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]]

@@ Line 2: / Line 2: @@
 |title=PRIMO.ai
 |titlemode=append
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 }}
 [https://www.youtube.com/results?search_query=Improper+Payments+artificial+intelligence+deep+machine+learning YouTube search...]
@@ Line 11: / Line 20: @@
 ** [[Risk, Compliance and Regulation]]
 ** [[Finance & Accounting]]
-* [[Government Services]]
+* [[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 ==