OpenText Core Digital Asset Management - MediaViz AI Integration and Automation

Common Integration Use Cases Between OpenText Core Digital Asset Management and MediaViz AI

1. AI-based automatic tagging and metadata enrichment

Data flow: MediaViz AI - OpenText Core Digital Asset Management

MediaViz AI analyzes newly uploaded images and videos to detect objects, scenes, logos, text, and other visual attributes, then sends structured metadata back to OpenText Core Digital Asset Management. This improves searchability and reduces the manual effort required by marketing, creative, and content operations teams to classify assets.

• Automatically assign keywords, categories, and content labels
• Improve asset discoverability across large libraries
• Reduce time spent on manual metadata entry

2. Brand compliance and logo detection for approved asset libraries

Data flow: OpenText Core Digital Asset Management - MediaViz AI - OpenText Core Digital Asset Management

Approved brand assets stored in OpenText Core Digital Asset Management can be sent to MediaViz AI for analysis to detect whether logos, trademarks, or brand elements appear correctly and consistently. Results can be written back as compliance flags or quality scores, helping brand teams identify assets that do not meet standards before they are published or distributed.

• Validate logo placement and brand usage
• Flag assets with missing or incorrect brand elements
• Support faster review cycles for marketing approvals

3. Duplicate and near-duplicate asset identification

Data flow: MediaViz AI - OpenText Core Digital Asset Management

MediaViz AI can compare visual similarity across assets and return duplicate or near-duplicate matches to OpenText Core Digital Asset Management. This helps digital asset managers reduce storage waste, avoid version confusion, and maintain a cleaner master library for global teams.

• Detect duplicate campaign images and video clips
• Identify alternate crops, edits, and resized variants
• Support asset consolidation and library cleanup

4. Content moderation and policy screening before asset publication

Data flow: OpenText Core Digital Asset Management - MediaViz AI - OpenText Core Digital Asset Management

When assets are uploaded to OpenText Core Digital Asset Management, they can be routed to MediaViz AI for screening against internal content policies. MediaViz AI can detect sensitive imagery, inappropriate content, or restricted visual elements and return a status that determines whether the asset is approved, flagged for review, or blocked from distribution.

• Automate first-pass content review
• Reduce risk of publishing non-compliant assets
• Escalate only exceptions to legal or compliance teams

5. Intelligent search enhancement for creative and marketing users

Data flow: MediaViz AI - OpenText Core Digital Asset Management

MediaViz AI can generate richer visual descriptors that are stored in OpenText Core Digital Asset Management search indexes. Users can then search by scene type, product presence, environment, or visual characteristics rather than relying only on manually entered metadata. This improves asset retrieval for campaign teams, agencies, and regional marketers.

• Enable more precise asset discovery
• Support natural search behavior for non-technical users
• Increase reuse of existing approved content

6. Workflow routing based on AI confidence and content type

Data flow: MediaViz AI - OpenText Core Digital Asset Management

MediaViz AI can return confidence scores and content classifications that OpenText Core Digital Asset Management uses to route assets into the correct workflow. For example, low-confidence metadata can be sent to a human reviewer, while high-confidence assets can be auto-approved and published faster. This creates a more efficient review process for content operations teams.

• Route uncertain assets to manual review
• Auto-approve low-risk, high-confidence content
• Shorten turnaround time for asset onboarding

7. Campaign asset performance analysis and content optimization

Data flow: OpenText Core Digital Asset Management - MediaViz AI - OpenText Core Digital Asset Management

Campaign assets stored in OpenText Core Digital Asset Management can be analyzed by MediaViz AI to identify visual patterns associated with specific content types, such as product shots, lifestyle imagery, or text-heavy creatives. The resulting insights can be attached back to the asset record to help marketing teams understand which visual attributes are most effective for future content planning and reuse.

• Classify assets by visual style and composition
• Support content strategy decisions with structured insights
• Improve reuse of high-performing creative formats

8. Automated enrichment for large-scale migration or legacy asset cleanup

Data flow: OpenText Core Digital Asset Management - MediaViz AI - OpenText Core Digital Asset Management

During migration of legacy media libraries into OpenText Core Digital Asset Management, MediaViz AI can analyze assets in bulk and generate missing metadata, detect duplicates, and identify content issues before the assets are fully published. This is especially useful for enterprises consolidating multiple repositories or modernizing older digital asset archives.

• Accelerate legacy content onboarding
• Improve metadata quality during migration
• Reduce manual cleanup after repository consolidation