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 &amp; Evaluation (DOT&amp;E), which outlines the development of the AI-Enabled Test &amp; 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>
Authors
- Jens Krüger (ORCID: https://orcid.org/0000-0002-2636-3163)
- Mark Mazzara
- Glenn Mossy
- Bryan Vandrovec
- Calvin Birr
- Max Himmel
- James Barnhart
- Jeff Senger
Institutions
- Booz Allen Hamilton (United States) (US)
- United States Army Combat Capabilities Development Command (US)
- Universidad Técnica de Ambato (EC)
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