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Revolutionizing Government Efficiency: Harnessing Commercial Off-the-Shelf Generative Artificial Intelligence Solutions for Enhanced Services and Decision-Making Booz Allen Hamilton

SAE Technical Papers (1906-current) Available online

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Format:
Book
Conference/Event
Author/Creator:
Vandrovec, Bryan, author.
Contributor:
Barnhart, James
Birr, Calvin
Himmel, Max
Kruger, John
Mazzara, Mark
Mossy, Glenn
Senger, Jeff
Conference Name:
2025 NDIA Michigan Chapter Ground Vehicle Systems Engineering and Technology Symposium (2025-08-12 : Novi, Michigan, United States)
Language:
English
Physical Description:
1 online resource cm
Place of Publication:
Warrendale, PA SAE International 2025
Summary:
This paper introduces a secure and cost-effective framework for integrating Commercial Off-the-Shelf (COTS) Generative Artificial Intelligence (GenAI) technology into government enterprise solutions. It explores key aspects of GenAI, emphasizing its transformative role in enhancing efficiency and decision-making within government operations. Central to the discussion is a GenAI Feasibility Study [1] conducted by Booz Allen for the Director, Operational Test and Evaluation (DOT&E), which outlines the development of the AI-Enabled Test and Evaluation Module (ATEM) GenAI Knowledge Assistant. The paper also examines critical factors for successful implementation, including use case definition, model selection, data quality, and prompt engineering
Notes:
Vendor supplied data
Publisher Number:
2025-01-0487
Access Restriction:
Restricted for use by site license

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