Smart Tagging: AI-powered digital asset tagging.

Traditional digital asset tagging is time consuming and inconsistent, and it doesn’t scale with many digital assets. Automated digital asset tagging often misses the mark, providing broad terms that fail to capture the context relevant to your campaigns, products, or brand identity. Finding the right asset becomes a frustrating search through irrelevant results.

Adobe Experience Manager Assets overcomes these hurdles with Smart Tagging. This artificial intelligence and machine learning algorithm can be trained to understand your unique business vocabulary, recognizing specific products, campaign themes, or brand elements. The result is highly descriptive, relevant metadata tagging that dramatically improves search accuracy. This sophisticated AI tagging ensures you find the right image or video asset in just a few clicks. This comprehensive approach to media tagging accelerates content workflows and empowers teams to utilize assets more effectively.

The benefits extend across departments. For creatives, it means less time spent on tedious tagging and more time focused on creation. For marketers, it translates to faster campaign execution through rapid asset discovery and reuse. By addressing shared pain points, Smart Tagging delivers a tangible return on investment through productivity gains and enhanced asset utilization, ultimately improving marketing velocity.

Advantages of Smart Tagging in digital asset management.

Smart Tagging in Experience Manager Assets is enabled for self-learning, meaning the AI tagging system continuously improves and adapts to new content and evolving business terminology without constant manual intervention. Smart Tagging reduces the long-term overhead of maintaining an extensive, complex taxonomy. Furthermore, by applying a consistent AI engine across diverse formats, Experience Manager Assets provides a unified approach to metadata tagging for all your content. This integrated strategy simplifies workflows, promotes consistent terminology for image tagging, video tagging, and document analysis, and enables powerful cross-asset searches, breaking down traditional content silos.

Intelligent machine learning.

Advanced AI algorithms power asset analysis, enabling learning and adaptation as Experience Manager Assets processes content. Crucially, these models can be trained using your organization’s specific content and existing taxonomy. This allows the automated tagging system to recognize and apply highly relevant, business-specific tags for images and videos that go far beyond generic object identification to understanding your products, campaigns, and brand attributes. The Smart Tagging system continuously learns, ensuring tags remain targeted and accurate over time.

Metadata tagging and contextual taxonomy search.

The high-quality metadata generated by Smart Tagging directly fuels more effective and intuitive search. It allows users to easily identify and retrieve assets using the keywords, hierarchies, and terminology commonly used within your organization. This integration with existing enterprise taxonomy structures means that Smart Tagging leverages and enhances your established metadata strategies, which not only makes it easier for employees and partners to find the right asset quickly, but also improves efficiency for the entire digital asset tagging and retrieval workflow.

Automatic learning and improvement.

Experience Manager Assets includes automated workflows that continuously train and refine the AI tagging models based on designated folder assets and their tags. This means the Smart Tagging system stays current with evolving content libraries and business priorities with minimal manual oversight. While the process is automated, it allows for governance, ensuring the automated tags align with your specific rules and requirements, balancing AI power with organizational control.

Advanced color analysis with enhanced image tagging.

Smart Tagging offers sophisticated image tagging based on color composition for visual assets. AI-powered analysis automatically determines dominant colors and their proportions, adding precise color values (name, HEX, and RGB) to the asset’s metadata. This rich layer of metadata tagging enables searches based on color, a significant benefit for design, branding, and marketing use cases.

Unlock the full potential of Smart Tagging to enhance asset discoverability and streamline content operations. Smart Tagging improves search precision, reduces manual tagging efforts, and helps teams quickly find and reuse the right content.

Experience Manager Assets automatically applies Smart Tags to supported assets upon upload, using AI to analyze and categorize content.

• For images and videos, Smart Tags are generated based on visual elements detected within the asset.
• For text-based or document assets, readable text is extracted, indexed, and used to support keyword-based search and retrieval.

Smart Tagging automates and enhances metadata creation, making it easier to manage large asset libraries and deliver relevant content faster.