A digital asset management system, or DAM, is a software solution that allows enterprises to store, organize, find, retrieve and share assets such as pictures and videos in a cost-effective way.
Omnichannel is omnipresent. As consumers, we perceive the value of total brand and image consistency across desktop, print and mobile as self-evident. As business professionals, however, we know how challenging it can be to align messaging and media across multiple channels. And that’s where digital asset nanagement comes in.
Like its name implies, DAM focuses on managing digital assets – documents, images and videos – and is set up primarily from a marketing perspective. In the past, when a content manager needed a picture for the company website, they would send an email to the designer, who would then select an image from the company’s database, often a shared folder.
With a DAM system, the content manager can dig up that picture themselves by typing in a few keywords, thanks to the fact that files are enriched with relevant metadata. This frees up designers to focus on their core tasks, ultimately improving productivity.
Apart from these internal advantages, a DAM system offers some important benefits for external processes as well, including the possibility to:
From on-premise to SaaS
A DAM system used to operate on-premise, in a data center, and later on as a cloud solution. Today, it mainly exists as software-as-a-service. Businesses aren’t looking for fancy specs anymore, they just want a solution that fits their needs.
This, in fact, also opens up DAM for SMEs, since there’s no big up-front investment necessary. This means that small(er) businesses have access to the same advanced features multinationals use.
The role of AI
Rapid advances in image recognition technology foreshadow the key role AI will play in DAM systems in the near future. Where the tagging of digital assets today is still an arduous and time-consuming manual task, it could soon be a matter of running all the files through a smart algorithm.
In fact, numerous experiments are already happening today, in which human involvement is limited to validating the tags provided by AI.
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