Context

Content reuse sounds simple. Until you try to make it work at a global scale in a highly regulated organization.

The challenge

For Takeda, the challenge wasn’t simply creating more content. It was making approved content easier to find, understand, adapt, and reuse, while preserving the governance, context, and connections required in a regulated environment.

What Takeda did

Agents are now tagging, transforming, and publishing assets directly in your DAM, no click, no screen, no person in the loop. The controls most DAM programs rely on were built for humans: a rights warning in a download dialog, an approval step someone actually sees, permissions scoped to a named user. Agents skip all of it. Most are authenticated as a single integration account with tenant-wide rights, which means one compromised or overreaching agent has the run of your entire library.

Digital Asset Management has entered a new phase.

If DAM 3.0 was about becoming a platform through APIs and integrations, then DAM 4.0 is about real-time, context-aware content intelligence engine. The DAM must understand what the user intends and help make it happen.

A marketer does not want to “use a DAM”. They want to launch a campaign, publish a product, create an ad, or get content live.

Getting more value from DAM and AI through people, process and meaningful metadata.

What happens when you give AI a brief without the context it needs? And how often are we doing exactly that with the content in our DAM, overlooking the people, processes and meaningful metadata that make it useful and reusable?

Context

Michael Kors’ journey with Bynder began as a system of record for all their creative content and evolved into the operating backbone of its enterprise content ecosystem.

In this session, discover how the team:

• Drove organizational adoption
• Connected Creative Services and eCommerce
• Optimized everyday workflows across multiple business units (all in under 8 months)

Hear the lessons learned along the way and how Michael Kors is building toward a future powered by automation, AI, and connected content.

Henry Schein, a Fortune 500 company and global leader in healthcare products and services, operating in over 30 countries, transformed its approach to managing digital assets at scale.

Covering 

Context:

Just been tasked to manage a DAM with no governance documentation, no contact list, and zero onboarding? Where do you go from here?

Lessons learned:

Practical steps on how to get started managing a DAM - a 90-day action plan to:

Exploring:
How one enterprise media and archival team approached AI adoption while facing increasing workloads, growing asset collections, and limited staff growth.

Offering:
Perspectives from both manager and senior leadership on building responsible, scalable AI adoption strategies that balance innovation, operational efficiency, and team trust.

The challenge:

Content operations are evolving faster than most organizations can adapt. 

Response:

How AI-powered content supply chains, content provenance, trust, and governance are reshaping the industry and why the organizations that succeed will be those that build the capability to adapt continuously.

What it really takes to lead change, accelerate adoption, and prepare organizations for what’s next.