Events DAM Australia 2026 The Evidence Layer Wins: From DAM to AI Infrastructure

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:

Events Webinar Speaker Isaac Cordero

As Senior Manager of 3D Production at City Home, I lead our team in developing best practices to streamline 3D asset creation and optimize our DAM for asset usage. Outside of work, I volunteer with local cat rescues—nothing beats caring for cats and reading some books.

Events Event Speaker Alex Duncan

Alex helps teams work better together by connecting people, processes, and technology. His work focuses on digital asset management, creative operations, and AI enablement, helping organizations build more connected and scalable ways of working. He is passionate about simplifying complexity and creating systems that make collaboration easier.

Events Event Speaker Elena Kendall

Elena has spent more than 10 years designing and improving the systems behind complex content operations. At the center of her work is translating the needs of Creative and eCommerce into scalable content infrastructure, shaping strategy, roadmaps, governance, integrations, and adoption across the wider technology landscape. She is drawn to the moments where complexity gets in the way of good work, creating clarity where there is friction and exploring how AI can make those systems more useful and intelligent.

Events Event Speaker Michael Pool

Michael Pool works in the Office of the CTO at Bloomberg, where he is working on tooling to create and deploy ontologies and other semantic artifacts across the firm. Previously, he was a principal ontologist on the Amazon Product Knowledge team, and has also worked to deploy semantic technologies/approaches and enterprise knowledge graphs at a number of big banks in New York City. Michael once worked on the famous Cyc project and has evaluated knowledge representation technologies for DARPA.