6 Best Practices for Implementing AI in a DAM MediaValet

Artificial intelligence brought the promise of automating one of the most time-consuming and manual processes in digital asset management – asset tagging. With artificial intelligence, thousands of existing and new assets can be processed in a matter of hours, rather than weeks. But, while AI is able to suggest relevant metadata, human verification is still required to evaluate the levels of accuracy and relevance to the business. As we implement AI into a DAM, we need to be careful to do so in a way that makes asset metadata more meaningful, not less, so that DAM administrators can make assets more easily discoverable. Here are 6 best practices to help you achieve this and ensure your team successfully implements artificial intelligence in your DAM.