Going above and beyond simple auto-tagging in Digital Asset Management through the use of customizable AI services
Auto-tagging has been a common implementation of Artificial Intelligence in Digital Asset Management Systems but off the shelf “packaged” AI services do not add significant value to the business and tend to reduce asset discoverability. DAM implementations need to make assets discoverable using domain specific attributes for the industries that they are used in. The ability to easily train models to build business specific recognition capabilities can significantly help reduce the dependency on tribal knowledge in order to find relevant assets for various types of initiatives in your organization.
This webinar provides an approach in using Guided Machine Learning services together with Cognitive Metadata to improve and streamline the production of highly relevant business metadata in a DAM.
A link to the recording will be shared post-webinar with all registrants.
