AI Is Taking ‘Management’ Out of Digital Asset Management for IT and Product Teams

The days of manually tagging and formatting digital assets are over. 

This means no more teammates frantically, manually trying to keep up with creating or updating PDPs. No more asset management errors. No more inconsistent or poor quality assets. 

What killed the manual tagging and formatting process? Artificial intelligence, that’s what.

Digital asset management (DAM) tools have come a long way, leveraging the power of automation and artificial intelligence (AI) and machine learning (ML) technologies. The result? A vastly sped up DAM for IT and product development. 

The time to futurize your DAM is now.

AI and ML technologies are revolutionizing DAM capabilities. The ability to auto-tag and intelligently crop images has reduced the end-to-end image management workflow from days to minutes. Organizations can now produce relevant graphics efficiently and effectively. AI-powered DAM automations include:

• Tagging files. Automatically tag assets based on their content.
• Cropping and resizing. Ensure the focal point of the image isn’t cut off or oddly placed.
• Asset management. Organize digital assets to track, file, and manage images efficiently and consistently without errors so images are easy to find.

An automated DAM system helps teams rapidly and reliably upload visual assets, eliminates mundane tasks within role-based user management, and ensures content is delivered and distributed efficiently.

Many challenges accompany the management of visual assets that an AI-powered DAM can solve.

Integrating a headless DAM may sound intimidating, but integration is simple because the DAM will integrate with nearly any tech stack. No-code integration capabilities extend modern DAM solutions to existing systems and once integrated, IT teams are able to make data-driven decisions and leverage robust APIs to streamline development operations.

The AI-powered DAM enhances collaboration between marketing, creative, and technology teams, making for quicker asset approvals and seamless distribution. Speed to approval greatly enhances the development and organization of digital assets.

Unlike legacy DAM solutions, an AI-powered DAM enables teams to deliver dynamic content generation and personalization in ways never available before and at scale. All digital content (artwork, pictures, videos, logos, banners, websites, app components, etc.) are tagged for quick retrieval, tracking, and storage.

IT teams supporting visual brands or product teams building digital products can compile asset libraries that make it simpler and faster to complete downstream phases by implementing an efficient DAM solution. Quicker prototyping is possible by more reliable and timely product information or design resources, which can result in more efficient manufacturing and design for production.

Searchability and discoverability are greatly enhanced by the use of AI technology in DAM systems, building a local database of products within a specific media library rather than a global database of items. The DAM uses this information to tag the same face across several pictures, which improves searchability inside the library. Assets are protected and served inside a platform that provides a single source of truth.

To simplify use and compliance, digital rights management (DRM) is integrated into the DAM. The software protects businesses from the potential liability of unlicensed peer-to-peer file sharing and other types of digital infringement. Copyright laws cover the majority of digital content, but the process of establishing a DRM is to make it difficult for hackers to leak sensitive data. This remarkable feature prevents any unauthorized access to digital assets and blocks third-party access.

An automated DAM provides data teams with the advanced analytics they need to track digital asset performance. AI systems monitor downloads, views, and shares. Teams leverage the data to make intelligent, data-driven decisions for their specific products. A modernized DAM enables brands to get information about every asset and compiles a report of all assets.

DAM systems have gone from on-premise platforms to cloud-based ones. With a centralized and accessible repository for brand assets, marketing materials, videos, audio files, and more, cloud DAM solutions have several advantages for enterprises. Namely the ability to share assets globally without any hassle when the DAM has an embedded multi-CDN. Using this approach, teams can manage, transform, and deliver image and video assets anywhere in the world. 

Those using legacy DAM systems typically must set up a CDN to deliver images. Cloudinary takes the extra step by monitoring delivery and performance data, automatically switching between different CDN providers to match the user characteristics (file format, device, bandwidth) in real time.  This in particular should be a big positive for IT/product teams.

DAM systems arrange files and safeguards them in one location. For organizations, the DAM system is essential for preserving brand coherence and upholding brand standards.

Organizations use a variety of tools and software to handle many elements of their operations. A DAM must be seamlessly integrated with the current tech stack without disrupting the business and their processes. 

Items to consider when planning a migration to a new DAM: 

• Teams must be able to access and exchange digital content easily during the transition. For instance, marketing teams can work on their marketing automation platform while using approved photos and videos from the DAM system. 
• Teams must be able to access the most recent and authorized brand assets. 
• Integration must reduce or eliminate data silos, redundant asset storage across many platforms, and guarantee that teams are working with the most recent assets. 
• Automating workflows and asset distribution ensures uniformity across all digital platforms.
• The DAM system and other analytics tools must exchange data. 

With its numerous remarkable features, IT and product development teams can increase efficiency while better managing and sorting digital assets within one platform. 

Teams can also add tighter, better integrated security for its digital assets, personalization, and customization features. AI helps build a more agile, useful DAM, while automation assists digital teams in a variety of ways. 

Modern DAMs are designed to reduce and eliminate the common stressors related to managing digital assets for IT and product development teams.

The fact that we could easily drop product videos into the DAM led to an impressive 45% increase in sales of those products, because of the Cloudinary improvement to the campaign around it.

Hannah Bennett

Head of Digital at

Paul Smith

40%+ reduction in asset management costs

45% boost in video-enabled sales

ENABLEMENT

CONVERSIONS

EFFICIENCY

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Cloudinary’s mission is to empower companies to deliver visual experiences that inspire and connect by unleashing the full potential of their media. With 60 billion assets under management and nearly 10,000 customers worldwide, Cloudinary is the industry standard for developers, creators, and marketers looking to manage, transform, and deliver images and videos online. As a result, leading brands like Atlassian, Bleacher Report, Bombas, Grubhub, NBC, Mediavine, Minted, Paul Smith, Peloton, and Petco are seeing significant business value in using Cloudinary, including faster time to market, higher user satisfaction, and increased engagement and conversions.

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