https://www.dau.edu
FIGURE 21. QUESTION 18 SENTIMENT ANALYSIS
Question 18
Explain the documented policies (or lack thereof) enabling or hampering the integration of modern technologies and tools (AI/ML, flexible funding, etc.) into your acquisition processes to enhance efficiency.
Neutral Avg 20% Sentiment
Positive Avg 14%
Negative Avg 67%
Note. AI/ML = Artificial Intelligence/Machine Learning.
FIGURE 22. QUESTION 18 MODEL CODES AND THEMES (BARRIERS)
ChatGPT Codes
Claude Codes
1. Complex approval processes for innovative tools 2. Limited flexibility in funding and policy 3. Barriers due to security and compliance 4. Rigid and outdated IT infrastructure 5. Lack of documented policies for technology integration 6. Inadequate understanding and training on new tech 7. Need for enhanced inter-departmental communication 8. Impact of organizational culture on innovation 9. Prohibitive costs of implementing new technologies 10. Limited use of AI and ML in acquisition processes
1. Rigid and inflexible acquisition processes 2. Lack of documented policies for modern tech 3. Security requirements hinder innovation adoption 4. Legacy systems limit new capability integration 5. Funding limitations and congressional restrictions 6. Lack of understanding and guidance on AI/ML 7. Need for updated IT infrastructure and data management 8. Risk-averse culture hinders difficult conversations 9. Flexible funding enables agility and speed 10. Lack of familiarity with acquisition processes
Question 18 Themes (Barriers)
1. Rigid Acquisition Processes: • Inflexible policies hinder innovation adoption 2. IT Infrastructure Limitations: • Outdated systems restrict integration of new technologies 3. Insufficient AI/ML Understanding: • Lack of knowledge and guidance on AI/ML capabilities 4. Funding Constraints: • Limited flexibility in funding impedes agility 5. Risk-Averse Culture: • Organizational resistance to change and difficult conversations
Note. AI/ML = Artificial Intelligence/Machine Learning; IT = Information Technology; tech = technical.
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Defense ARJ, Summer 2025, Vol. 32 No. 2: 132—193
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