Traditional digital asset management systems created an innovative way to store assets in an organised system that enabled easier management processes. Since the early days of DAM, the capabilities have grown significantly, driven by emerging technologies.
We have now entered an era where AI and ML are delivering innovations at pace. From AI-powered digital assistants to streaming recommendations based on past viewing behaviour, AI has appeared almost everywhere.
While some people approach the concept of AI with an element of caution, overlooking its capabilities is no longer an option for businesses. AI has been a driving force for a multitude of digital improvements, and the best is yet to come.
AI has introduced major efficiencies within DAM systems but as it continues to evolve, the scope for improvements is limitless. Next on the horizon for DAM is generative AI, a powerful learning model that can create new content at rapid speed, with minimal user effort.
Generative AI is a learning model that can create content such as images, videos and text at speed and at volume. Generative AI can also scan assets and analyse them to generate descriptions of the images and other highly accurate and granular metadata such as themes and emotions.
These are some of the key capabilities generative AI will drive improvements in DAM systems:
AI can be used to adapt existing content to improve personalisation, based on audience segmentation by identifying assets that are highly relevant. It can also resize images to suit the requirements for different platforms. For example, it will resize an image to the optimal dimensions for social media posts, website banners and email headers.
Creative teams using the latest AI features within DAM will be able to speed up creation processes and spend less time on repetitive and mundane tasks.
Many DAM systems already incorporate AI-generated tagging but generative AI takes this up a few levels. As well as scanning text to assign relevant keywords, computer vision can gauge visual details to automate rich descriptions of content. Searchability of assets will be significantly improved with all the additional information tagged, such as segmentation categories, moods and backgrounds.
You can use semantic searches to locate the most relevant assets. For example, a request for “an image of a happy man aged over 50 sat in a car” will deliver impressively relevant results. Campaign creation times will be reduced and conversion rates can be amplified through the use of hyper-personalised content.
Don’t get left behind when most of your competitors will already by exploring the extensive capabilities of generative AI in DAM systems. Book a demo with our team to find out more about how it works and all the benefits you could be missing out on.
