Not too long ago, artificial intelligence (AI) was just a concept from science fiction movies. But today, AI is changing the status quo of entire industries — including marketing technology (martech). When it comes to digital asset management (DAM), image recognition software has a valuable and growing role in metadata creation by automatically tagging assets during the upload process.

Let’s take a look at how image recognition software works and the efficiencies it can bring to DAM workflows.

The use of machine learning and artificial intelligence (AI) is evolving in the digital asset management (DAM) community, and rightfully so. AI-powered tools support metadata creation, a time-consuming process that’s often one of the biggest pain points for DAM software administrators and users.

This is why these tools are no longer merely a nice-to-have. As digital libraries expand and AI becomes more sophisticated, image recognition and auto-tagging tools have become a must-have for any enterprise DAM solution. 

The adoption of AI tools in the Widen Collective^® has kept pace with this evolution, and as with any other software developments within our platform, we’ve gathered customer feedback around the functionality to ensure the capabilities meet their needs.