DAM platforms have become essential to how organizations create, store, and deliver content across countless channels. Yet, as these collections grow and demands for global, always-on content accelerate, many DAMs still function as glorified “digital filing cabinets,” leaving untapped potential on the table.
GenAI offers a bold shift: it can supercharge every phase of asset management, from creation and discovery to distribution and compliance. By applying large language models (LLMs) and related AI techniques, DAM teams can unlock richer metadata, enable digital asset management workflows, improve discoverability, and even generate new content variants. Ultimately, this means less time spent wrangling assets and more time delivering meaningful, brand-aligned experiences at scale.
This paper will empower DAM professionals to see GenAI not as a novelty, but as the missing piece that transforms DAM from static storage to a true growth and innovation engine.
