Fundamental Observations:

Foundations of DAM including metadata, governance, taxonomy and information management are all capabilities which are essential ingredients, but they are only the beginning of the journey.

Many organisations have successfully implemented DAM – far fewer have evolved it into an enterprise capability.

The Challenge Now:

DAM provides the operational foundation for effective governance, streamlined workflows, improved discoverability and trusted content across the enterprise. That foundation starts with architecture:

What We Hold: 

The Australian War Memorial holds a vast collection of official, private, and published material relating to Australians’ experience of war and conflict.

Understanding What May Be Sensitive Information: 

How to make a DAM more useful to those who don’t utilise it very often. Is AI the answer, or are there other approaches that can work just as well (or better)?

Covering:

• Will AI solve your findability issues, or make them worse?
• How to ensure that a DAM saves creative energy instead of expending it.
• How to communicate powerful workflows to stakeholders.
• Managing expectations with leadership during and after the implementation of new tools.

The new reality:

AI has made competent content cheap and abundant. When everyone has access to the same models, the differentiator shifts to what the models cannot copy: your assets, your metadata, your rights, your performance history. The evidence layer.

DAM has quietly become one of the most strategic and defensible assets in the AI era.

The implications: