Adobe Experience Manager Sites & More

sherinregi · 8/22/23

Hi All,

GenAI is currently a trending topic out in market and most of the companies are looking to adapt/integrate the same to get the potential benefits out of the large language models. Just wanted to get the opinion from all the experts here what all use cases we can leverage the power of these models and in corporate the same with AEM.

To quote a few, I saw some nice implementations with ChatGPT for generating the description and other details

https://medium.com/@vorajineet/use-generative-ai-in-adobe-experience-manager-aem-cms-to-ease-seo-tas....

Looking forward to see any ideas or existing cases details.

kautuk_sahni · 8/22/23

Here are some of the potential use cases of generative AI models in AEM:

Automated content generation: Generative AI models can be used to automatically generate content for AEM pages, such as blog posts, product descriptions, and marketing materials. This can free up content creators to focus on more creative and strategic work.
Personalized content recommendations: Generative AI models can be used to recommend personalized content to users based on their interests and browsing history. This can help users find the content they are most likely to be interested in, which can improve their overall experience with AEM.
SEO optimization: Generative AI models can be used to optimize AEM pages for search engines. This can be done by generating content that is relevant to the user's search intent and that uses the right keywords and phrases.
Chatbots: Generative AI models can be used to create chatbots that can answer user questions and provide customer support. This can help businesses to improve customer service and reduce the workload on their support team.
Product recommendations (Commerce): Generative AI models can be used to recommend products to users based on their past purchases, browsing history, and other factors. This can help businesses to increase sales and improve the customer experience.
Customer segmentation: Generative AI models can be used to segment customers into different groups based on their interests, demographics, and other factors. This can help businesses to target their marketing campaigns more effectively.
A/B testing: Generative AI models can be used to A/B test different versions of AEM pages to see which one performs better. This can help businesses to optimize their pages for conversions.
Lead generation: Generative AI models can be used to generate leads for businesses by creating personalized content that is relevant to the user's interests.
Customer support: Generative AI models can be used to create chatbots that can answer user questions and provide customer support. This can help businesses to improve customer service and reduce the workload on their support team.
Compliance: Generative AI models can be used to help businesses comply with regulations by identifying and removing sensitive content from AEM pages.
Security: Generative AI models can be used to help businesses secure their AEM pages by detecting and blocking malicious traffic.
Content summarization: Generative AI models can be used to summarize long pieces of content into shorter, more concise versions. This can help users to quickly get the gist of a piece of content without having to read the entire thing.
Data visualization: Generative AI models can be used to visualize data in a way that is easy to understand and interpret. This can be helpful for businesses that want to communicate their data to stakeholders.
Automated asset tagging: Generative AI models can be used to automatically tag assets with relevant keywords and phrases. This can help businesses to improve the searchability of their assets and to make it easier for users to find the content they are looking for.