A digital asset management (DAM) system is used to store, share, and organize a company’s digital assets. This includes photos, videos, audio files, digital ads, and more, making these systems a critical tool for creative and marketing teams.
Using a DAM system helps your teams stay organized and save time while streamlining creative workflows, automating tedious tasks, reducing redundancy and asset waste, helping keep your creative and marketing teams compliant, and more. In the past, many of these activities were carried out manually, which was time consuming and redundant.
However, many newer DAM systems now leverage artificial intelligence (AI) to reduce the time spent on those processes, bringing the power to sort, filter, search, and organize assets more quickly and efficiently and allowing your team to work more effectively.
Potential of AI
Artificial intelligence (AI) is the ability for a computer to do tasks that are normally done by humans because they require human intelligence and/or discernment, such as visual perception, speech recognition, decision-making, translation between languages, and more. AI can perform many of the same tasks as humans, but on much larger scales and much faster.
Machine learning (ML) is a subset of AI that studies computer algorithms that improve automatically through experience, making projects possible that otherwise would be too costly or time consuming.
Both AI and ML continue to grow increasingly more effective and accessible for businesses.
How Can AI Enhance Digital Asset Management?
AI is still a relatively new technology, so the breadth of its benefits and applications is still being explored by most industries. However, there are several ways AI can benefit DAM systems with clear, positive impacts and outcomes for your teams.
Automatic Asset Tagging
“Tagging” puts assets into specific categories and provides descriptions in the form of metadata. Doing this to all of your assets helps refine searches and filters, which makes organizing and finding creative files more efficient. Without AI, this process must be done manually, and your team must add keywords and tags to each asset, one at a time.
An AI system uses different recognition capabilities to analyze and scan images, identify objects or people, and use appropriate keywords to tag assets automatically. These can then be searched and tagged by context, faces, color, orientation, and more. Audio and video files can also be scanned and classified through speech recognition technology.
Using AI to tag assets saves your team time and ensures consistency between tagging. It also creates a more intuitive search experience, making it easier to find what you’re looking for or share the correct assets across teams.
Visual Similarity
When you have hundreds or thousands of digital assets, identifying similar or duplicate assets is virtually impossible. However, AI systems can help you find assets that are similar or duplicates, decreasing the time needed to manually sort through them. This allows you to maintain integrity of content.
Object Recognition
The use of AI for object recognition streamlines searching, tagging, and organizing. AI can provide several different types of object recognition such as:
- Facial recognition: This can detect and match millions of faces within your creative, helping you identify individual(s) from a large image gallery.
- Object localization: Allows you to locate the presence of objects in an image.
- Object detection: Allows you to track presence of objects in assets and identify its category.
Speech-To-Text Conversion
Natural language processing (NPL) is a form of AI that enables computers to understand human language, look for, and decipher speech patterns. AI systems can convert spoken word into text by scanning an audio feed and breaking what it discerns into text.
This is especially useful when analyzing and/or transcribing audio and video files. It makes the process faster, and it’s more accurate. Plus, it can make extruded text from those files searchable, which can make finding the assets faster and easier.
Automatic Optimization
AI can help analyze digital assets and offer suggestions on how they could be modified to make them work better, whether to generate new leads, acquire new sales, or retain existing customers. AI within the DAM system can monitor the performance of digital assets in market, and ensures assets are optimized for the right channel to deliver the right message to the right people at the right time.
In Conclusion
Artificial intelligence is empowering organizations across industries to streamline operations and contribute to a smarter, faster, more connected society. Digital asset management systems that make use of AI are a critical part of staying organized and efficient as well as making optimal use of employee time. They can be used to expand audience reach, automate systems, improve data, and develop stronger organizations overall. Virtually all industries that use the internet as part of their operations can benefit from an AI-empowered DAM system. Moving into the future, cutting-edge DAM systems will be ubiquitous for fast-paced, modern businesses.
