Visual AI Search - the latest game-changing solution
Lets focus on how the search function can be enhanced in DAMs using Visual AI Search, allowing users to search using natural language or visual cues, thereby bypassing the limitations of keywords and traditional metadata-based search methods.
This user-centric approach not only improves satisfaction and productivity but also ensures that the full value of the digital asset repository is realized.
In today's digital world, where we've grown accustomed to finding information instantly thanks to search engines like Google and comprehensive resources like Wikipedia, our expectations for searching and navigating within Digital Asset Management (DAM) systems have skyrocketed. For those unfamiliar, a DAM system is a repository that stores and organizes digital assets such as documents, images, videos, and more. To meet user expectations for fast and easy access to these assets, DAM systems utilize a variety of organizational tools, including categories, albums, tags, taxonomy, ontology, filters, and more.
