Feature Article: Unlocking New Capabilities with DAM and AI Integration
As part of our editorial series on DAM Integration, James Rein, Chief Customer Officer and Communications Manager at Montala Limited, the company behind ResourceSpace, has kindly contributed an article exploring the emerging AI technologies that are finding their way into our DAM platforms and revolutionising the way we interact with them.
“As Digital Asset Management (DAM) platforms grow in complexity and importance, integrating with artificial intelligence (AI) has become a transformative development. The benefits of AI are rippling out across many industries. They’re optimising workflows, enhancing user experience, and simplifying laborious tasks – and DAM systems are no exception.” [Read More]
The article focuses on three main areas of functionality where AI is making waves within DAM: AI-assisted metadata generation via automated tagging and keywording; improved accessibility for visually impaired users by using AI-powered image, scene and object recognition to generate alt text and descriptions; and on-the-fly image editing using technologies such as DALL-E 2 to allow DAM users to modify content without having to rely on precious creative resources or external software.
“One of the more recent developments in AI for DAM systems is the capability to edit images directly within the platform. Powered by DALL-E 2, ResourceSpace’s integration allows users to make adjustments to images without needing to rely on external software. By using the “Edit with AI” feature, users can select areas of an image and make changes on the spot – such as removing unwanted objects, filling in backgrounds, or modifying elements – directly within the DAM. The edited file can either be downloaded, as a one off, or saved against the original for other users.” [Read More]
James concludes with a glimpse into the not-so-distant future of DAM – a future where developments in multimodal AI and Large Language Models (LLM) will allow users to not only automate the processing and management of text and image based assets, but also to understand, catalogue, contextualise, and even create complex digital content such as audio, video and mixed media.
“The potential applications of AI in DAM go beyond what we see today. Imagine a DAM system that could provide real-time insights into content trends, who’s downloading what, assess engagement, or suggest adjustments for optimisation. AI might even be able to provide context for an image’s likely emotional impact or cultural resonance, offering unprecedented levels of insight into how to use and distribute digital assets effectively. As AI capabilities expand, so too will the possibilities for DAM, creating systems that are ever more intuitive, responsive, and supportive of content-rich workflows.” [Read More]
You can read the full article at the link below.
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