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In the fast-evolving landscape of digital asset management (DAM), the integration of Artificial Intelligence (AI) has emerged as a game-changer, revolutionizing how organizations handle their digital content. At Stacks, we understand the pivotal role that AI plays in enhancing DAM platforms, empowering organizations to streamline workflows, improve efficiency, and unlock new possibilities for content management.

In this article, we’ll discuss ways AI can be used to make your DAM program more efficient and effective. We’ll also look at three DAM platform vendors and how they integrate AI into their systems.


Overview of DAM + AI

Artificial intelligence has become an exciting tool for most business operations, including digital asset management. Much like other areas where AI could be utilized deploying AI in your DAM program requires thoughtfulness, strategy, and human oversight. 

For many organizations, their digital assets are some of the most valuable and sensitive assets they possess. These assets drive their brand identity, marketing, sales, e-commerce, and many other business functions.  Consequently, it’s critical to develop an AI policy that protects your digital assets and the systems managing them from certain AI algorithms and platforms before implementing the tool.

When strategizing about AI and DAM, be sure to ask platform vendors offering AI capabilities relevant questions, have your legal team investigate their terms and conditions, and think through the moral and ethical questions that AI can pose. The methodology employed by Stacks is to divide the different capabilities of AI in regards to DAM into those that are harmless (i.e. no brainers to implement) and those that require more thought and research.


Leveraging AI for Enhanced Metadata Tagging

One of the key features that AI brings to DAM platforms is its ability to automate and optimize metadata tagging. Through advanced algorithms and machine learning capabilities, AI can intelligently analyze and tag digital assets based on content, context, and user behavior. This accelerates the process of asset categorization and also ensures consistency and accuracy in metadata assignment, thus facilitating the search and retrieval of assets.


AI-Powered Content Recommendations and Personalization

Another compelling aspect of integrating AI into DAM platforms is its capacity to deliver personalized content recommendations, speed up content creation, and improve the effectiveness of compliance workflows, like approvals.

By leveraging AI algorithms to analyze user preferences, engagement patterns, and historical data, DAM systems can offer tailored content suggestions to users, enhancing their browsing experience and driving higher engagement levels. This personalized approach boosts user satisfaction and also enables organizations to deliver more targeted and relevant content to their audiences.

Let’s look at how AI is deployed by three leading DAM platform providers:


Acquia DAM’s AI Features

One of the key benefits of a DAM system is its greater efficiency in creating, organizing, finding, and publishing rich media. There are a lot of opportunities for incorporating AI into DAM capabilities to automate high-volume tasks. For example, Acquia’s platform offers AI assistance throughout the content lifecycle. One way it does this is by assisting in making assets findable. This is done using computer vision to analyze an asset and generate metadata, such as keywords and descriptions. AI can also conduct similar visual searches to find related content without metadata. 

Acquia DAM AI Generated Alt Text Description Screenshot Nathan Holmes

AI can also assist in generating alt text descriptions to give your teams a head start on supporting web accessibility compliance and search optimization. This alt text can be used when publishing to your website or social media. In addition, AI can be used as a creative sounding board during the review process to generate copy or design ideas in the platform’s workflow proofer. 

Learn more about Acquia

To learn more about Acquia's approach to DAM and AI, click below!


Brandfolder’s Brand Intelligence Features

Brandfolder makes teams more efficient with its AI offering, Brand Intelligence (BI). BI’s proprietary algorithms analyze and tag all of an organization's creative assets on ingestion and adjust tagging protocols as needed. This allows their customers to focus on more strategic projects. 

Screenshot 2024 03 01 at 12 34 15 PM Haley Patrone

Brandfolder’s AI metadata extraction and auto-tagging functions get smarter based on user habits over time while remaining brand-specific. Its advanced AI features detect and analyze assets such as faces, objects, locations, scenes, brand-specific objects, products, and more. Suggested descriptions clearly and consistently relate to what’s shown in an image, saving teams time and manual effort. 

Learn more about Brandfolder

To learn more about Brand Intelligence, click below!


Aprimo’s AI Features

Leading brands and content teams want to derive the benefits of AI. However, concerns for brand consistency and security cause them to be uncertain about deploying it. To serve their needs, Aprimo offers a state-of-the-art AI solution that accelerates content creation, automates asset management activities, and supercharges asset discoverability for the teams utilizing it. It also ensures that all assets are on-brand, compliant, and secure even in the age of AI-driven content proliferation. 

The promise of AI has become a reality, with marketing organizations turning to AI-powered tools to achieve unmatched efficiency and build a competitive edge.  Aprimo AI brings intelligence-driven agility for modern brands, empowering teams to elevate content operations and unlock new levels of content effectiveness.

Erik Huddleston, Chief Executive Officer, Aprimo

Here are some of the ways Aprimo’s AI works with its DAM platform:

  • Accelerates content creation: AI assists platform users in the creation of asset variants, asset descriptions, and even completely new on-brand content based on their  DAM assets and collections. This accelerates content velocity and reduces cycle time to launch new experiences in the market.
  • Automates asset management: AI automates manual asset management activities, thus giving teams more time for other tasks. Aprimo’s metadata automations start working as soon as users upload assets—images, videos, text documents—by tagging them, applying brand-specific taxonomy, and extracting relevant information from the file itself.
  • Amplifies asset discoverability: Aprimo unleashes AI to surface the most relevant search results in a flash and reduce the time users spend looking for content.
  • Ensures brand safety and compliance: Aprimo leverages AI that's trained on data provided by its users, keeps its content secure, and never shares it with public models. It ensures complete brand safety by identifying content that’s AI-influenced, checking it for compliance, and triggering review workflows automatically so a person can approve content before it’s used in external campaigns.

Learn more about Aprimo

To learn more about Aprimo's AI capabilities, click below!



As organizations navigate the complexities of managing vast repositories of digital assets, embracing AI-powered features in DAM platforms has become increasingly important. The fusion of AI with DAM not only streamlines asset management processes but also empowers organizations to harness the full potential of their digital content. At Stacks, we're committed to staying at the forefront of innovation in DAM solutions.  If you’d like to learn more about AI and DAM, reach out to our team today!

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