APPLICATION OF ARTIFICIAL INTELLIGENCE IN THE DEPARTMENT OF DEFENSE TO ENHANCE THE CONTRACTING PROCESS TIMELINE
Download
Author
Skots, Vladislav
Date
2019-12Advisor
Jones, Raymond D.
Second Reader
Housel, Thomas J.
Metadata
Show full item recordAbstract
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.
Rights
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.Collections
Related items
Showing items related by title, author, creator and subject.
-
Cyber System Assurance through Improved Network Anomaly Modeling and Detection
Bollmann, Chad A. (Monterey, California: Naval Postgraduate SchoolMonterey, California. Naval Postgraduate School, 2019-12); NPS-19-N039-AThe objectives of this work were to investigate the source of the dual natures of network traffic (i.e., Gaussian and alpha-stable) in order prove the merit of further development, improvement, and application of non-parametric ... -
Cyber System Assurance through Improved Network Anomaly Modeling and Detection
Bollmann, Chad A. (Monterey, California: Naval Postgraduate SchoolMonterey, California. Naval Postgraduate School, 2019-12); NPS-19-N039-AThe objectives of this work were to investigate the source of the dual natures of network traffic (i.e., Gaussian and alpha-stable) in order prove the merit of further development, improvement, and application of non-parametric ... -
Maritime Strategy and Naval Innovation (Continuation)
Russell, James A.; Wirtz, Jim (Monterey, California: Naval Postgraduate SchoolMonterey, California. Naval Postgraduate School, 2019-12); NPS-19-N001-AThis project is a continuation of ongoing support by NPS to the work of N50 to further refining and improving the Navy's strategy development and implementation processes. This will be the fourth year of support to the ...