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

<div class="section abstract"><div class="htmlview paragraph">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 [<span class="xref">1</span>] conducted by Booz Allen for the Director, Operational Test & Evaluation (DOT&E), which outlines the development of the AI-Enabled Test & 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.</div></div>

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Publication Details

Journal
SAE technical papers on CD-ROM/SAE technical paper series
Published
2025-09-16
DOI
https://doi.org/10.4271/2025-01-0487
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Jens Krüger, Mark Mazzara, Glenn Mossy, Bryan Vandrovec et al.
SAE technical papers on CD-ROM/SAE technical paper series
Big Data and Business Intelligence
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Revolutionizing Government Efficiency: Harnessing Commercial Off-the-Shelf Generative Artificial Intelligence Solutions for Enhanced Services and Decision-Making

Jens Krüger, Mark Mazzara, Glenn Mossy, Bryan Vandrovec, Calvin Birr, Max Himmel, James Barnhart, Jeff Senger
article en

Abstract

<div class="section abstract"><div class="htmlview paragraph">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 [<span class="xref">1</span>] conducted by Booz Allen for the Director, Operational Test & Evaluation (DOT&E), which outlines the development of the AI-Enabled Test & 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.</div></div>

SAE technical papers on CD-ROM/SAE technical paper seriesVol. 1
Booz Allen Hamilton (United States) (US), United States Army Combat Capabilities Development Command (US), Universidad Técnica de Ambato (EC)
Openalex Percentile: Top 59%
Big Data and Business Intelligence
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