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 |
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| Autor principal: | |
| Publicado: |
Information Today, Inc.
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| Materias: | |
| Acceso en línea: | Citation/Abstract Full Text Full Text - PDF |
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| 045 | 2 | |b d20251001 |b d20251031 | |
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| 100 | 1 | |a Keiser, Barbie E | |
| 245 | 1 | |a AI corner: Optimizing AI Platforms for Competitive Intelligence | |
| 260 | |b Information Today, Inc. |c Oct 2025 | ||
| 513 | |a Commentary | ||
| 520 | 3 | |a 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. | |
| 653 | |a SWOT analysis | ||
| 653 | |a Competitive advantage | ||
| 653 | |a Trends | ||
| 653 | |a Voice recognition | ||
| 653 | |a Generative artificial intelligence | ||
| 653 | |a Prompt engineering | ||
| 653 | |a Competitive intelligence | ||
| 653 | |a Large language models | ||
| 653 | |a Chatbots | ||
| 653 | |a Competition | ||
| 653 | |a Ability | ||
| 653 | |a Companies | ||
| 653 | |a Intelligence | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Blogs | ||
| 653 | |a Marketing | ||
| 653 | |a Question answer sequences | ||
| 653 | |a Reference Materials | ||
| 653 | |a Feedback (Response) | ||
| 653 | |a Data Analysis | ||
| 653 | |a Video Technology | ||
| 653 | |a Prompting | ||
| 653 | |a Opportunities | ||
| 653 | |a Trend Analysis | ||
| 653 | |a Transcripts (Written Records) | ||
| 653 | |a Algorithms | ||
| 773 | 0 | |t Computers in Libraries |g vol. 45, no. 8 (Oct 2025), p. 36-39 | |
| 786 | 0 | |d ProQuest |t Library Science Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3266534788/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text |u https://www.proquest.com/docview/3266534788/fulltext/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3266534788/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |