Hi all,
Adobe Sensei works with Adobe Analytics and Adobe Target.
But, to achieve Personalization - intelligent recommendations and insights, how Adobe Sensei integrates and works with AEM?
Appreciate all your replies.
Thanks,
RK.
해결되었습니다! 솔루션으로 이동.
토픽은 커뮤니티 콘텐츠를 분류하여 관련성 있는 콘텐츠를 찾는 데 도움이 됩니다.
Hi RK,
Adobe Sensei enhances AEM by providing content intelligence capabilities. It helps in automating workflows, tagging , content, and providing insights into content performance. With AI-driven automation, AEM can automatically tag images and videos, making it easier to manage digital assets and improve searchability.
Adobe Sensei provides the capability to analyze user data and interactions across various touchpoints. By leveraging this data, AEM can create personalized content experiences for users. Sensei's algorithms can predict user preferences and deliver content that is most relevant to them, enhancing engagement and conversion rates.
Using Adobe Sensei, AEM can generate intelligent content recommendations. This is achieved by analyzing user behavior and content consumption patterns. Sensei's machine learning models predict what content a user is likely to engage with next, allowing marketers to deliver personalized recommendations that align with the user's interests.
Hi RK,
Adobe Sensei enhances AEM by providing content intelligence capabilities. It helps in automating workflows, tagging , content, and providing insights into content performance. With AI-driven automation, AEM can automatically tag images and videos, making it easier to manage digital assets and improve searchability.
Adobe Sensei provides the capability to analyze user data and interactions across various touchpoints. By leveraging this data, AEM can create personalized content experiences for users. Sensei's algorithms can predict user preferences and deliver content that is most relevant to them, enhancing engagement and conversion rates.
Using Adobe Sensei, AEM can generate intelligent content recommendations. This is achieved by analyzing user behavior and content consumption patterns. Sensei's machine learning models predict what content a user is likely to engage with next, allowing marketers to deliver personalized recommendations that align with the user's interests.