Challenge:

Brands and marketing organizations must determine what metadata fields and relationships are appropriate for AI integration with digital assets. AI can help automate tasks, including:

• Tagging
• Categorising
• Describing

AI is used to support DAM duties such as metadata clean-up, governance documentation and reporting. Applications that optimize asset ingestion, saving time and money.

However, there are important questions that must be answered:

Most DAM conversations focus on strategy, governance, metadata, AI, and transformation. Far fewer focus on what actually breaks in day-to-day operations.

This panel brings together practitioners from across the DAM ecosystem to discuss the operational realities that often remain hidden behind process diagrams and transformation roadmaps.

Panelists share candid perspectives on where workflows fail, why workarounds emerge, and what prevents organizations from achieving the outcomes they expected from their DAM investments.

The panel discusses how Generative AI and DAM are evolving and the implications for:

• The content supply chain and the growing complexity of that supply chain.
• Where the assets come from and go to.
• What other systems of record are required along the way.

Covering the latest trends and the challenges facing organizations, including: