What’s happening now:

• Digital Asset Management (DAM) is more compelling than ever. 
• Organizations are increasingly moving beyond viewing DAM as a static repository.
• Instead, they see it as a strategic enabler—one that addresses content challenges, streamlines workflows, and powers the entire content supply chain.

Emerging trends and real-world examples:

Founded in 2008, BMG is the fourth-largest music company in the world, home to iconic catalogues of works by both notable performers and songwriters. Uniquely, it combines the activities of a music publisher and record label.

BMG operates across multiple areas of the music industry, including new recordings, catalogue releases, music publishing, licensing, and production music.

What the DAM does:

Context:
wedi, known for its innovative construction and sanitary solutions, serves a wide B2B customer base through both traditional catalogue sales and growing online channels.

At the start:
A lack of structure.

The goal:
A rule-based, scalable system.

wedi’s journey toward efficient digital asset usage:
Key outcomes included:

Context:

You've got your DAM, you've got your content, now all you need to do is add your metadata to make everything accessible.

The task:

Unfortunately, DAM systems don’t come with a keywording manual. It’s up to you to decide what keywords to add to assets and why. How should you organise, manage and maintain keywords in your DAM so they don’t spiral out of control, causing confusion and reducing relevance?

The challenge:

With video taking center stage in content strategies, many organisations are asking: How do we manage it effectively in our DAM?

A session devoted to answering your questions.

This dynamic, interactive panel is all about tackling your challenges, your concerns, your wish for answers. 

The expert panel is here to provide the insights you seek - fully prepared for questions about:

Time to have some lunch and visit the exhibition. See you back at 14:20 for the start of the afternoon sessions!

AI is no longer a future ambition—it’s a present necessity. Yet for many organisations, applying AI across content workflows remains unclear and difficult to scale. 

In this session, Novartis shares how they evaluated existing DAM processes and successfully applied AI to streamline operations and personalise content experiences. Learn practical steps for identifying high-impact use cases, integrating AI with minimal disruption, and driving measurable ROI from your DAM. Discover how AI and DAM together can shift your approach from content creation to content intelligence.

Slimming World’s Journey Integrating PIM into DAM

The need:

As demands on content and product teams continue to evolve, the need for a connected, flexible martech ecosystem has never been greater. Organisations are moving away from siloed, monolithic systems to open platforms that support a unified marketing content supply chain—where assets, data and workflows move seamlessly across departments and channels.

Satisfying the need: 

Twinings and Ovaltine are two well-known global brands dedicated to enhancing authentic consumer experience.

Context:

DAM is a new addition to the business, bringing AI, automation, and integrations. While the technology has evolved, its core purpose remains the same – to store, find, and use assets efficiently. We recognised that the technology, metadata and governance must be well aligned with our real-world processes. We also knew that adoption (buy-in) throughout the organisation was necessary.