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AI corner: Optimizing AI Platforms for Competitive Intelligence

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Publicado en:Computers in Libraries vol. 45, no. 8 (Oct 2025), p. 36-39
Autor principal: Keiser, Barbie E
Publicado:
Information Today, Inc.
Materias:
SWOT analysis
Competitive advantage
Trends
Voice recognition
Generative artificial intelligence
Prompt engineering
Competitive intelligence
Large language models
Chatbots
Competition
Ability
Companies
Intelligence
Artificial intelligence
Blogs
Marketing
Question answer sequences
Reference Materials
Feedback (Response)
Data Analysis
Video Technology
Prompting
Opportunities
Trend Analysis
Transcripts (Written Records)
Algorithms
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Resumen:It's so empting to ask a generative AI (gen AI) tool to analyze an investment or compare your company with another. AI tools quickly find insights and patterns in large datasets, answer questions about multiple "documents" uploaded to their platforms and predict the outcomes of recommended actions based on opportunities they see in the data. Shannon De Marco, Crayon marketing manager, states in a blog post, "Better prompts = smarter insights" and stressed that using appropriate prompts and understanding models' capabilities allow users to conduct research, analyze existing material, identify trends, and indicate gaps where further research should be pursued. Each prompt type elicits a specific improvement in the results produced by the AI tool: chain-of-thought prompting improves clarity and completeness, few-shot prompting gives the chatbot examples of desired output and contextual prompting adds company-specific details for better relevance results.
ISSN:1041-7915
0275-6722
Fuente:Library Science Database