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.
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 the integrity of the content.
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 the individual(s) from a large image gallery.
- Object localization: This allows you to locate the presence of objects in an image.
- Object detection: This allows you to track the presence of objects in assets and identify its category.
A kind of AI known as “natural language processing” (NLP) allows computers to comprehend spoken language, search for, and decode voice patterns. By listening to an audio stream and breaking down what they find into text, AI systems can translate spoken words into written form.
This is extremely helpful when analyzing and/or transcribing audio and video files. Both the speed and accuracy of the procedure are increased. Additionally, it may provide searchable access to extruded text from those files, facilitating and speeding up asset discovery.
AI may assist in analysing digital assets and provide recommendations on how to improve them to increase lead generation, revenue, or customer retention. The DAM system’s AI can track the effectiveness of digital assets in the marketplace and ensure they are optimized for the appropriate channel to reach the right audience at the right time.
Artificial intelligence enables businesses in various sectors to optimize operations and contribute to a smarter, quicker, and more connected society. AI-powered digital asset management solutions are essential for being effective and organized and making the most use of staff time. They may increase audience reach, automate processes, enhance data, and build more robust companies. An AI-powered DAM system benefits almost all sectors that utilize the internet for some aspect of their business operations. For quick-paced, contemporary organizations in the future, cutting-edge DAM systems will be commonplace.