File:APPLICATION OF ARTIFICIAL INTELLIGENCE IN THE DEPARTMENT OF DEFENSE TO ENHANCE THE CONTRACTING PROCESS TIMELINE (IA applicationofart1094564067).pdf
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Summary[edit]
APPLICATION OF ARTIFICIAL INTELLIGENCE IN THE DEPARTMENT OF DEFENSE TO ENHANCE THE CONTRACTING PROCESS TIMELINE ( ) | ||
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Author |
Skots, Vladislav |
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Title |
APPLICATION OF ARTIFICIAL INTELLIGENCE IN THE DEPARTMENT OF DEFENSE TO ENHANCE THE CONTRACTING PROCESS TIMELINE |
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Publisher |
Monterey, CA; Naval Postgraduate School |
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Description |
The procurement process of the Department of Defense (DOD) is often criticized for being too slow and complicated to meet warfighter needs at the speed of relevance. The multi-layered bureaucratic oversight that stalls the process is in place to ensure the awarded contract meets a myriad of requirements based in policy, feasibility, and good stewardship of public resources. With this in mind, the rate of technological advancement is outpacing the procurement process’s ability to meet demand without exceptions to policy, which come with the risk of missed oversight, leading to problems after contract award. As technology is evolving on the battlefield, it may also be useful in addressing the relationship between appropriate procurement processes and speed of delivery. Artificial intelligence contract management software has been shown to increase efficiency and speed in the private sector, and is an appropriate tool for the DOD to adopt in its own systems. Subjects: artificial intelligence; machine learning; contracting; procurement; efficiency |
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Language | English | |
Publication date | December 2019 | |
Current location |
IA Collections: navalpostgraduateschoollibrary; fedlink |
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Accession number |
applicationofart1094564067 |
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Source | ||
Permission (Reusing this file) |
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States. |
Licensing[edit]
Public domainPublic domainfalsefalse |
This work is in the public domain in the United States because it is a work prepared by an officer or employee of the United States Government as part of that person’s official duties under the terms of Title 17, Chapter 1, Section 105 of the US Code.
Note: This only applies to original works of the Federal Government and not to the work of any individual U.S. state, territory, commonwealth, county, municipality, or any other subdivision. This template also does not apply to postage stamp designs published by the United States Postal Service since 1978. (See § 313.6(C)(1) of Compendium of U.S. Copyright Office Practices). It also does not apply to certain US coins; see The US Mint Terms of Use.
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This file has been identified as being free of known restrictions under copyright law, including all related and neighboring rights. |
https://creativecommons.org/publicdomain/mark/1.0/PDMCreative Commons Public Domain Mark 1.0falsefalse
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current | 16:25, 14 July 2020 | 1,275 × 1,650, 104 pages (3.95 MB) | Fæ (talk | contribs) | FEDLINK - United States Federal Collection applicationofart1094564067 (User talk:Fæ/IA books#Fork8) (batch 1993-2020 #7867) |
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Author | Aileen B. Houston |
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Short title | APPLICATION OF ARTIFICIAL INTELLIGENCE IN THE DEPARTMENT OF DEFENSE TO ENHANCE THE CONTRACTING PROCESS TIMELINE |
Image title | |
File change date and time | 02:51, 24 January 2020 |
Date and time of digitizing | 09:55, 20 December 2019 |
Date metadata was last modified | 02:51, 24 January 2020 |
Software used | Acrobat PDFMaker 17 for Word |
Conversion program | Adobe PDF Library 15.0 |
Encrypted | no |
Page size |
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Version of PDF format | 1.4 |