This document discusses using artificial intelligence to enhance digital asset management operations. It makes the following key points: 1. AI can help identify and extract metadata from digital assets to improve searchability and reuse of content across systems. This reduces duplication and helps coordinate work among creative teams. 2. There are two types of AI: generic models that provide common services like classification and enrichment, and business-specific custom models that deliver more relevant insights tailored to a company's specific domains and use cases. 3. Business-specific models can be continuously trained on a company's own content and data to provide predictive outputs. This increases the business value and accuracy of metadata compared to generic models.