| Request for Feature Enhancement (RFE) Summary: |
This RFE proposes integrating AI capabilities into AEM to assist content creators with curation and content suggestion functionalities. |
| Use-case: |
Content creators often spend significant time searching for relevant assets and information to build compelling content pieces. This can be particularly challenging when managing large content repositories. |
| Current/Experienced Behavior: |
- Content creators rely on manual searches and browsing through folders and tags to locate relevant assets.
- This process can be time-consuming and inefficient, especially for complex content structures.
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| Improved/Expected Behavior: |
- Integrate AI-powered content suggestion features within the AEM authoring environment.
- As a content creator drafts their content, the AI suggests relevant assets (images, text snippets, related articles) based on the current context.
- The AI considers factors like keywords, themes, content type, and past user behavior to deliver personalized suggestions.
Additionally:
- Explore the possibility of AI-powered content curation tools within AEM.
- These tools could automatically generate summaries of existing content pieces, recommend best placements for specific assets within webpage layouts, or even suggest content refresh schedules based on performance data.
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| Environment Details (AEM version/service pack, any other specifics if applicable): |
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| Customer-name/Organization name: |
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| Screenshot (if applicable): |
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| Code package (if applicable): |
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